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        <creator>Popovic, Vesna</creator>
        <creator>Livingstone, Alison</creator>
        <creator>Cave, Andrew R.</creator>
        
        
        
        <publisher>Airports of the Future</publisher>
        <date>2013</date>
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        <source>School of Design; Creative Industries Faculty</source><subject>Design Innovation (120302)</subject><subject>Airport</subject><subject>Experience</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Report</type><issued>2013</issued><holdingsCount>1</holdingsCount></version></work><work id="187956471" url="/work/187956471"><troveUrl>http://trove.nla.gov.au/work/187956471</troveUrl><title>Report on security at two airports</title><contributor>Kraal, Ben J</contributor><contributor> Popovic, Vesna</contributor><contributor> Kirk, Philip J</contributor><contributor> Livingstone, Alison</contributor><contributor> Cave, Andrew R</contributor><contributor> Taris, Andre</contributor><issued>2012</issued><type>Article</type><type>Article/Report</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.018203685">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/65112/</identifier><version id="204551257"><record><header>
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        <title>Report on security at two airports</title>
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        <publisher>Airports of the Future</publisher>
        <date>2012</date>
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        <relation>   Kraal, Ben J., Popovic, Vesna, Kirk, Philip J., Livingstone, Alison, Cave, Andrew R.,  & Taris, Andre   (2012)   Report on security at two airports.   Airports of the Future, Brisbane, QLD.    </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/65112/</identifier>
        <rights>Queensland University of Technology</rights>
        <source>School of Design; Creative Industries Faculty</source><subject>Design Innovation (120302)</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Report</type><issued>2012</issued><holdingsCount>1</holdingsCount></version></work><work id="187956473" url="/work/187956473"><troveUrl>http://trove.nla.gov.au/work/187956473</troveUrl><title>Report on Melbourne International Terminal arrivals hall</title><contributor>Kirk, Philip J</contributor><contributor> Livingstone, Alison</contributor><contributor> Popovic, Vesna</contributor><contributor> Kraal, Ben J</contributor><issued>2011</issued><type>Article</type><type>Article/Report</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.018203685">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/65114/</identifier><version id="204551259"><record><header>
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        <title>Report on Melbourne International Terminal arrivals hall</title>
        <creator>Kirk, Philip J.</creator>
        <creator>Livingstone, Alison</creator>
        <creator>Popovic, Vesna</creator>
        <creator>Kraal, Ben J.</creator>
        
        
        
        <publisher>Airports of the Future</publisher>
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        <identifier>https://eprints.qut.edu.au/65114/</identifier>
        <source>School of Design; Creative Industries Faculty</source><subject>Design Innovation (120302)</subject><subject>Airport</subject><subject>Experience</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Report</type><issued>2011</issued><holdingsCount>1</holdingsCount></version></work><work id="187956472" url="/work/187956472"><troveUrl>http://trove.nla.gov.au/work/187956472</troveUrl><title>Report on Quarantine Area Exit at Brisbane International Terminal</title><contributor>Kirk, Philip J</contributor><contributor> Livingstone, Alison</contributor><contributor> Popovic, Vesna</contributor><contributor> Kraal, Ben J</contributor><issued>2011</issued><type>Article</type><type>Article/Report</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.018203685">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/65113/</identifier><version id="204551258"><record><header>
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        <title>Report on Quarantine Area Exit at Brisbane International Terminal</title>
        <creator>Kirk, Philip J.</creator>
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        <creator>Popovic, Vesna</creator>
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        <publisher>Airports of the Future</publisher>
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        <source>School of Design; Creative Industries Faculty</source><subject>Design Innovation (120302)</subject><subject>Airport</subject><subject>Experience</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Report</type><issued>2011</issued><holdingsCount>1</holdingsCount></version></work><work id="187956470" url="/work/187956470"><troveUrl>http://trove.nla.gov.au/work/187956470</troveUrl><title>Report on Human Systems Workshop at the Airports of the Future Showcase</title><contributor>Kraal, Ben J</contributor><contributor> Popovic, Vesna</contributor><contributor> Kirk, Philip J</contributor><contributor> Cave, Andrew R</contributor><contributor> Swann, Levi</contributor><issued>2012</issued><type>Article</type><type>Article/Report</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.015928224">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/65111/</identifier><version id="204551256"><record><header>
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        <title>Report on Human Systems Workshop at the Airports of the Future Showcase</title>
        <creator>Kraal, Ben J.</creator>
        <creator>Popovic, Vesna</creator>
        <creator>Kirk, Philip J.</creator>
        <creator>Cave, Andrew R.</creator>
        <creator>Swann, Levi</creator>
        
        
        
        <publisher>Airports of the Future</publisher>
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        <relation>   Kraal, Ben J., Popovic, Vesna, Kirk, Philip J., Cave, Andrew R.,  & Swann, Levi   (2012)   Report on Human Systems Workshop at the Airports of the Future Showcase.   Airports of the Future, Brisbane, QLD.    </relation>
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        <identifier>https://eprints.qut.edu.au/65111/</identifier>
        <rights>Copyright 2013 Queensland University of Technology</rights>
        <source>School of Design; Creative Industries Faculty</source><subject>Design Innovation (120302)</subject><subject>Airport </subject><subject>Experience</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Report</type><issued>2012</issued><holdingsCount>1</holdingsCount></version></work><work id="191117215" url="/work/191117215"><troveUrl>http://trove.nla.gov.au/work/191117215</troveUrl><title>Wayfinding analysis using Tobii eye-tracking glasses at Brisbane International Airport</title><contributor>Cave, Andrew R</contributor><contributor> Popovic, Vesna</contributor><contributor> Kraal, Ben J</contributor><contributor> Blackler, Alethea L</contributor><issued>2013</issued><type>Article</type><type>Article/Report</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.015928224">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/72105/</identifier><version id="208446948"><record><header>
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        <title>Wayfinding analysis using Tobii eye-tracking glasses at Brisbane International Airport</title>
        <creator>Cave, Andrew R.</creator>
        <creator>Popovic, Vesna</creator>
        <creator>Kraal, Ben J.</creator>
        <creator>Blackler, Alethea L.</creator>
        
        
        
        
        
        <publisher>Queensland University of Technology</publisher>
        <date>2013</date>
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        <relation>http://www.airportsofthefuture.qut.edu.au</relation>
        <relation>   Cave, Andrew R., Popovic, Vesna, Kraal, Ben J.,  & Blackler, Alethea L.   (2013)   Wayfinding analysis using Tobii eye-tracking glasses at Brisbane International Airport.   Queensland University of Technology, Brisbane, QLD.    </relation>
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        <identifier>https://eprints.qut.edu.au/72105/</identifier>
        <source>School of Design; Creative Industries Faculty</source><subject>BUILT ENVIRONMENT AND DESIGN (120000)</subject><subject>Wayfinding</subject><subject>Navigation</subject><subject>Airports</subject><subject>Design</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Report</type><issued>2013</issued><holdingsCount>1</holdingsCount></version></work><work id="192554779" url="/work/192554779"><troveUrl>http://trove.nla.gov.au/work/192554779</troveUrl><title>Towards processpedia - An ecological environment for BPM stakeholders collaboration</title><contributor>Rito Silva, Antonio</contributor><contributor> Rosemann, Michael</contributor><contributor> Mazhar, Samia</contributor><contributor> zur Muehlen, M</contributor><contributor> Su, J</contributor><issued>2011</issued><type>Article/Conference paper</type><type>Article</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.015928224">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/80527/</identifier><version id="210603508"><record><header>
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        <title>Towards processpedia - An ecological environment for BPM stakeholders collaboration</title>
        <creator>Rito Silva, Antonio</creator>
        <creator>Rosemann, Michael</creator>
        <creator>Mazhar, Samia</creator>
        
        
        <publisher>Springer</publisher>
        <contributor>zur Muehlen, M</contributor>
        <contributor>Su, J</contributor>
        <date>2011</date>
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        <relation>DOI:10.1007/978-3-642-20511-8_41</relation>
        <relation>   Rito Silva, Antonio, Rosemann, Michael,  & Mazhar, Samia   (2011)   Towards processpedia - An ecological environment for BPM stakeholders collaboration. In  zur Muehlen, M & Su, J (Eds.)  Business Process Management Workshops: BPM 2010 International Workshops and Education Track, Revised Selected Papers [Lecture Notes in Business Information Processing, 2011, Volume 66], 13 - 15 September, 2010, United States of America.   </relation>
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        <source>Faculty of Science and Technology</source><subject>INFORMATION SYSTEMS (080600)</subject><subject>Processpedia</subject><subject> Business Process Management</subject><subject> Social Software Features</subject><subject> Collaborative Modelling</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2011</issued><holdingsCount>1</holdingsCount></version></work><work id="197721370" url="/work/197721370"><troveUrl>http://trove.nla.gov.au/work/197721370</troveUrl><title>Bayesian networks as a complex system tool in the context of a major industry and university project</title><contributor>Farr, Anna Charisse</contributor><contributor> Mengersen, Kerrie</contributor><contributor> Johnson, Sandra</contributor><contributor> Wu, Paul P</contributor><contributor> Kleinschmidt, Tristan</contributor><issued>2010</issued><type>Article/Conference paper</type><type>Article</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.013652764">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/84896/</identifier><version id="216490890"><record><header>
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        <title>Bayesian networks as a complex system tool in the context of a major industry and university project</title>
        <creator>Farr, Anna Charisse</creator>
        <creator>Mengersen, Kerrie</creator>
        <creator>Johnson, Sandra</creator>
        <creator>Wu, Paul P.</creator>
        <creator>Kleinschmidt, Tristan</creator>
        <publisher>Australasian Bayesian Network Modellers Society</publisher>
        <date>2010</date>
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        <relation>   Farr, Anna Charisse, Mengersen, Kerrie, Johnson, Sandra, Wu, Paul P.,  & Kleinschmidt, Tristan   (2010)   Bayesian networks as a complex system tool in the context of a major industry and university project. In  Second Annual Conference of the Australasian Bayesian Network Modellers Society (ABNMS-10), 25 - 26 November 2010, Canberra, Australia.   </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/84896/</identifier>
        <rights>Copyright 2010 [please consult the authors]</rights>
        <source>Institute for Future Environments; Science & Engineering Faculty</source></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2010</issued><holdingsCount>1</holdingsCount></version></work><work id="193319225" url="/work/193319225"><troveUrl>http://trove.nla.gov.au/work/193319225</troveUrl><title>Human action recognition in video by fusion of structural and spatio-temporal features</title><contributor>Zare Borzeshi , Eshan</contributor><contributor> Perez Concha, Oscar</contributor><contributor> Piccardi, Massimo</contributor><contributor> Macquarie University. Centre for Health Informatics</contributor><issued>2012</issued><type>Article/Conference paper</type><type>Article</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.011377303">limited relevance</relevance><identifier type="url" linktype="fulltext">http://hdl.handle.net/1959.14/341088</identifier><version id="211686453"><record><header>
        <identifier>mq:37880</identifier>
        <datestamp>2017-02-09T11:38:40.513Z</datestamp>
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      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title>Human action recognition in video by fusion of structural and spatio-temporal features</title><creator>Zare Borzeshi , Eshan</creator><creator>Perez Concha, Oscar</creator><creator>Piccardi, Massimo</creator><subject>Graph</subject><subject>Graph embedding</subject><subject>Human action recognition</subject><subject>Markov models</subject><subject>STIP</subject><description>The problem of human action recognition has received increasing attention in recent years for its importance in many applications. Local representations and in particular STIP descriptors have gained increasing popularity for action recognition. Yet, the main limitation of those approaches is that they do not capture the spatial relationships in the subject performing the action. This paper proposes a novel method based on the fusion of global spatial relationships provided by graph embedding and the local spatio-temporal information of STIP descriptors. Experiments on an action recognition dataset reported in the paper show that recognition accuracy can be significantly improved by combining the structural information with the spatio-temporal features.</description><description>9 page(s)</description><publisher>Heidelberg : Springer</publisher><contributor>Macquarie University. Centre for Health Informatics</contributor><date>2012</date><type>conference paper</type><identifier>http://hdl.handle.net/1959.14/341088</identifier><identifier>mq:37880</identifier><identifier>ISBN:9783642341656</identifier><bibliographicCitation type="isbn">9783642341656</bibliographicCitation><identifier>ISSN:0302-9743</identifier><bibliographicCitation type="issn">0302-9743</bibliographicCitation><identifier>mq-rm-2013010788</identifier><identifier>mq_res-ext-2-s2.0-84868151697</identifier><language>eng</language><relation>Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012) (7 - 9 November 2012 : Hiroshima)</relation><relation>Gimel’farb, Georgy; Hancock, Edwin; Imiya, Atsushi; Kuijper, Arjan; Kudo, Mineichi; Omachi, Shinichiro; Windeatt, Terry and Yamada, Keiji. Structural, syntactic, and statistical pattern recognition : joint IAPR International Workshop SSPR & SPR 2012 Hiroshima, Japan, November 7-9, 2012 : proceedings, p.474-482</relation><relation>ARC</relation><relation>http://purl.org/au-research/grants/arc/LP0990135</relation><relation>10.1007/978-3-642-34166-3_52</relation><relation>Lecture notes in computer science 7626</relation></dc>
      </metadata><metadataSource type="nuc">NMQU:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2012</issued><holdingsCount>1</holdingsCount></version></work><work id="37058212" url="/work/37058212"><troveUrl>http://trove.nla.gov.au/work/37058212</troveUrl><title>Passengers in the airport : artefacts and activities</title><contributor>Kraal, Ben J</contributor><contributor> Popovic, Vesna</contributor><contributor> Kirk, Philip J</contributor><issued>2009</issued><type>Article/Conference paper</type><type>Article</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.011377303">limited relevance</relevance><snippet> is shown
to be complex and contingent on many factors. We report
on our early <b>research</b> in the airport and document an
emerging taxonomy</snippet><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/31029/</identifier><version id="50019366"><record><header>
      <identifier>oai:eprints.qut.edu.au:31029</identifier>
      <datestamp>2017-06-28T14:41:59Z</datestamp>
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      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
        <title>Passengers in the airport : artefacts and activities</title>
        <creator>Kraal, Ben J.</creator>
        <creator>Popovic, Vesna</creator>
        <creator>Kirk, Philip J.</creator>
        
        
        
        <description>This study addresses the ordinary activities of passengers
in airports. Using observational techniques we
investigated how passenger activities are mediated by
artefacts, in this the bags that people carry. The
relationship between passengers and their bags is shown
to be complex and contingent on many factors. We report
on our early research in the airport and document an
emerging taxonomy of passenger activity. The
significance of this research is in the contribution made to
an understanding of passenger activities which could
contribute to the design of future technologies for
passenger facilitation and to airport terminal design.</description>
        <date>2009</date>
        <type>conference paper</type>
        <format>application/pdf</format>
        <relation>https://eprints.qut.edu.au/31029/1/c31029.pdf</relation>
        <relation>http://www.ozchi.org/2009/mediawiki/index.php/Main_Page</relation>
        <relation>DOI:10.1145/1738826.1738894</relation><relation>http://doi.org/10.1145/1738826.1738894</relation>
        <relation>   Kraal, Ben J., Popovic, Vesna,  & Kirk, Philip J.   (2009)   Passengers in the airport : artefacts and activities. In  Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group: Design: Open 24/7, Melbourne, Victoria, pp. 349-352.    </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/31029/</identifier>
        <rights>Copyright 2009 the authors and CHISIG</rights>
        <source>Faculty of Built Environment and Engineering</source><subject>Design Innovation (120302)</subject><subject>Airport Passengers</subject><subject>Fieldwork</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2009</issued><holdingsCount>1</holdingsCount></version></work><work id="37983389" url="/work/37983389"><troveUrl>http://trove.nla.gov.au/work/37983389</troveUrl><title>Crowd counting using group tracking and local features</title><contributor>Ryan, David</contributor><contributor> Denman, Simon</contributor><contributor> Fookes, Clinton B</contributor><contributor> Sridharan, Sridha</contributor><issued>2010</issued><type>Article/Conference paper</type><type>Article</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.011377303">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/34498/</identifier><version id="50187626"><record><header>
      <identifier>oai:eprints.qut.edu.au:34498</identifier>
      <datestamp>2017-06-21T14:43:56Z</datestamp>
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      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
        <title>Crowd counting using group tracking and local features</title>
        <creator>Ryan, David</creator>
        <creator>Denman, Simon</creator>
        <creator>Fookes, Clinton B.</creator>
        <creator>Sridharan, Sridha</creator>
        
        
        
        
        
        
        
        
        <description>In public venues, crowd size is a key indicator of crowd safety and stability. In this paper we propose a crowd counting algorithm that uses tracking and local features to count the number of people in each group as represented by a foreground blob segment, so that the total crowd estimate is the sum of the group sizes. Tracking is employed to improve the robustness of the estimate, by analysing the history of each group, including splitting and merging events. A simplified ground truth annotation strategy results in an approach with minimal setup requirements that is highly accurate.</description>
        <publisher>IEEE Computer Society</publisher>
        <date>2010-09-01</date>
        <type>conference paper</type>
        <format>application/pdf</format>
        <relation>https://eprints.qut.edu.au/34498/1/c34498.pdf</relation>
        <relation>http://www.avss2010.org/</relation>
        <relation>   Ryan, David, Denman, Simon, Fookes, Clinton B.,  & Sridharan, Sridha   (2010)   Crowd counting using group tracking and local features. In  7th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2010), 29 August - 1 September 2010, Boston.   </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/34498/</identifier>
        <rights>Copyright 2010 IEEE.</rights>
        <rights>Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.</rights>
        <source>Faculty of Built Environment and Engineering; Information Security Institute</source><subject>Computer Vision (080104)</subject><subject>Image Processing (080106)</subject><subject>Signal Processing (090609)</subject><subject>Crowd Counting</subject><subject>Crowd Density</subject><subject>Local Features</subject><subject>Object Tracking</subject><subject>Foreground segmentation</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2010-09-01</issued><holdingsCount>1</holdingsCount></version></work><work id="38267832" url="/work/38267832"><troveUrl>http://trove.nla.gov.au/work/38267832</troveUrl><title>Towards airport passenger experience models</title><contributor>Popovic, Vesna</contributor><contributor> Kraal, Ben</contributor><contributor> Kirk, Philip J</contributor><issued>2010</issued><type>Article/Conference paper</type><type>Article</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.011377303">limited relevance</relevance><snippet> airport. As part of our <b>research</b>, we have followed people through the airport from check-in to security and from security to board</snippet><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/38095/</identifier><version id="50672088"><record><header>
      <identifier>oai:eprints.qut.edu.au:38095</identifier>
      <datestamp>2017-06-23T14:42:00Z</datestamp>
      <setSpec>74797065733D636F6E666572656E63655F7061706572</setSpec>
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      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
        <title>Towards airport passenger experience models</title>
        <creator>Popovic, Vesna</creator>
        <creator>Kraal, Ben</creator>
        <creator>Kirk, Philip J.</creator>
        
        
        
        
        <description>This paper reports on the study of passenger experiences and how passengers interact with services, technology and processes at an airport. As part of our research, we have followed people through the airport from check-in to security and from security to boarding. Data was collected by approaching passengers in the departures concourse of the airport and asking for their consent to be videotaped. Data was collected and coded and the analysis focused on both discretionary and process related passenger activities. Our findings show the interdependence between activities and passenger experiences. Within all activities, passengers interact with processes, domain dependent technology, services, personnel and artifacts. These levels of interaction impact on passenger experiences and are interdependent. The emerging taxonomy of activities consists of (i) ownership related activities, (ii) group activities, (iii) individual activities (such as activities at the domain interfaces) and (iv) concurrent activities. This classification is contributing to the development of descriptive models of passenger experiences and how these activities affect the facilitation and design of future airports.</description>
        <date>2010-10</date>
        <type>conference paper</type>
        <format>application/pdf</format>
        <relation>https://eprints.qut.edu.au/38095/1/c38095.pdf</relation>
        <relation>http://www.id.iit.edu/de2010/</relation>
        <relation>   Popovic, Vesna, Kraal, Ben,  & Kirk, Philip J.   (2010)   Towards airport passenger experience models. In  Proceedings of 7th International Conference on Design & Emotion, Spertus Institute, Chicago, Illinois.    </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/38095/</identifier>
        <rights>Copyright 2010 Please consult the authors.</rights>
        <source>Faculty of Built Environment and Engineering</source><subject>DESIGN PRACTICE AND MANAGEMENT (120300)</subject><subject>Tourist Behaviour and Visitor Experience (150606)</subject><subject>design</subject><subject>passenger experience</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2010-10</issued><holdingsCount>1</holdingsCount></version></work><work id="38798188" url="/work/38798188"><troveUrl>http://trove.nla.gov.au/work/38798188</troveUrl><title>Airports of the future : incident response planning in Australian airports</title><contributor>Barnes, Paul H</contributor><issued>2010</issued><type>Article</type><type>Article/Journal or magazine article</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.011377303">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/40154/</identifier><version id="51519459"><record><header>
      <identifier>oai:eprints.qut.edu.au:40154</identifier>
      <datestamp>2015-06-18T04:40:39Z</datestamp>
      <setSpec>74797065733D61727469636C65</setSpec>
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      <setSpec>7375626A656374733D616E7A737263:313530303030:313530333030:313530333132</setSpec>
      <setSpec>66756E64696E675F6167656E63793D415243</setSpec></header><metadata>
      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
        <title>Airports of the future : incident response planning in Australian airports</title>
        <creator>Barnes, Paul H.</creator>
        
        
        
        
        
        <description>Airports are typical examples of large and complex
infrastructure systems. They serve a purpose of
not only transporting people around the globe
but are central to trade and commerce and, in a nation
as large as Australia, an important means to connect
people and regions. Reducing uncertainty and managing
risk in such systems are not only critical tasks integral
to effective management practice but equally important
for border protection and national security outcomes.
This latter issue has been emphasised on a national level
in Australia with a number of recent enquiries taking
place, most notably the Wheeler Review1 into aviation
security in 2005 and the 2009 National Aviation Policy
White Paper2 on the future of aviation in Australia.</description>
        <publisher>Business Continuity Institute</publisher>
        <date>2010</date>
        <type>journal article</type>
        <relation>http://www.thebci.org/ContSeptOct10_full%20issue.pdf</relation>
        <relation>   Barnes, Paul H.   (2010)    Airports of the future : incident response planning in Australian airports.  Continuity, pp. 13-14.    </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/40154/</identifier>
        <source>QUT Business School; School of Management</source><subject>Organisational Planning and Management (150312)</subject><subject>Airports</subject><subject>Planning</subject><subject>Australia</subject><subject>Incident Response</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Journal or magazine article</type><issued>2010</issued><holdingsCount>1</holdingsCount></version></work><work id="38986220" url="/work/38986220"><troveUrl>http://trove.nla.gov.au/work/38986220</troveUrl><title>Semi-supervised intelligent surveillance system for secure environments</title><contributor>Fookes, Clinton</contributor><contributor> Denman, Simon</contributor><contributor> Lakemond, Ruan</contributor><contributor> Ryan, David</contributor><contributor> Sridharan, Sridha</contributor><contributor> Piccardi, Massimo</contributor><contributor> NA</contributor><issued>2010-2012</issued><type>Article</type><type>Article/Conference paper</type><type>Article/Other article</type><holdingsCount>2</holdingsCount><versionCount>2</versionCount><relevance score="0.011377303">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/40954/</identifier><version id="195970041"><record><header><identifier>oai:epress.lib.uts.edu.au:10453/16144</identifier><datestamp>2014-04-14T06:24:56Z</datestamp><setSpec>hdl_10453_208</setSpec></header><metadata><dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title>Semi-supervised intelligent surveillance system for secure environments</title><creator>Fookes, Clinton</creator><creator>Denman, Simon</creator><creator>Lakemond, Ruan</creator><creator>Ryan, David</creator><creator>Sridharan, Sridha</creator><creator>Piccardi, Massimo</creator><description>This paper proposes a semi-supervised intelligent visual surveillance system to exploit the information from multi-camera networks for the monitoring of people and vehicles. Modules are proposed to perform critical surveillance tasks including: the manag</description><publisher>IEEE</publisher><contributor>NA</contributor><date>2012-02-02T11:07:05Z</date><date>2012-02-02T11:07:05Z</date><date>2010</date><date>20100704</date><identifier>2010003150</identifier><identifier>Fookes Clinton et al. 2010, 'Semi-supervised intelligent surveillance system for secure environments', , IEEE, Piscataway, USA, , pp. 2815-2820.</identifier><identifier>9781424463916</identifier><identifier>E1</identifier><identifier>http://hdl.handle.net/10453/16144</identifier><identifier>2815</identifier><identifier>2820</identifier><language /><relation>http://dx.doi.org/10.1109/ISIE.2010.5636922</relation></dc></metadata><metadataSource type="nuc">NTSM:IR</metadataSource></record><type>Article</type><type>Article/Other article</type><issued>2012</issued><issued>2010</issued><holdingsCount>1</holdingsCount></version><version id="51817277"><record><header>
      <identifier>oai:eprints.qut.edu.au:40954</identifier>
      <datestamp>2017-06-23T14:42:29Z</datestamp>
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      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
        <title>Semi-supervised intelligent surveillance system for secure environments</title>
        <creator>Fookes, Clinton</creator>
        <creator>Denman, Simon</creator>
        <creator>Lakemond, Ruan</creator>
        <creator>Ryan, David</creator>
        <creator>Sridharan, Sridha</creator>
        <creator>Piccardi, Massimo</creator>
        
        
        
        
        
        
        
        
        
        <description>This paper proposes a semi-supervised intelligent visual surveillance system to exploit the information from multi-camera networks for the monitoring of people and vehicles. Modules are proposed to perform critical surveillance tasks including: the management and calibration of cameras within a multi-camera network; tracking of objects across multiple views; recognition of people utilising biometrics and in particular soft-biometrics; the monitoring of crowds; and activity recognition. Recent advances in these computer vision modules and capability gaps in surveillance technology are also highlighted.</description>
        <date>2010-07-04</date>
        <type>conference paper</type>
        <format>application/pdf</format>
        <relation>https://eprints.qut.edu.au/40954/1/40954.pdf</relation>
        <relation>DOI:10.1109/ISIE.2010.5636922</relation><relation>http://doi.org/10.1109/ISIE.2010.5636922</relation>
        <relation>   Fookes, Clinton, Denman, Simon, Lakemond, Ruan, Ryan, David, Sridharan, Sridha,  & Piccardi, Massimo   (2010)   Semi-supervised intelligent surveillance system for secure environments. In  Proceedings of the IEEE International Symposium on Industrial Electronics, Special Session on Computational Intelligence for Safe and Secure Environments and Transport, Bari, Italy, pp. 2815-2820.    </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/40954/</identifier>
        <rights>Copyright 2010 IEEE</rights>
        <source>Faculty of Built Environment and Engineering; Information Security Institute</source><subject>Computer Graphics (080103)</subject><subject>Signal Processing (090609)</subject><subject>video surveillance </subject><subject>computer vision</subject><subject>object detection</subject><subject>monitoring</subject><subject>soft-biometrics</subject><subject>biometrics</subject><subject>tracking</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2010-07-04</issued><holdingsCount>1</holdingsCount></version></work><work id="153402248" url="/work/153402248"><troveUrl>http://trove.nla.gov.au/work/153402248</troveUrl><title>Check-in processing : simulation of passengers with advanced traits</title><contributor>Ma, Wenbo</contributor><contributor> Kleinschmidt, Tristan</contributor><contributor> Fookes, Clinton</contributor><contributor> Yarlagadda, Prasad K.D.V</contributor><contributor> Fu, Michael</contributor><contributor> White, K. Preston</contributor><issued>2011</issued><type>Article/Conference paper</type><type>Article</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.011377303">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/42377/</identifier><version id="167190608"><record><header>
      <identifier>oai:eprints.qut.edu.au:42377</identifier>
      <datestamp>2017-06-29T12:33:17Z</datestamp>
      <setSpec>74797065733D636F6E666572656E63655F7061706572</setSpec>
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      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
        <title>Check-in processing : simulation of passengers with advanced traits</title>
        <creator>Ma, Wenbo</creator>
        <creator>Kleinschmidt, Tristan</creator>
        <creator>Fookes, Clinton</creator>
        <creator>Yarlagadda, Prasad K.D.V.</creator>
        
        
        
        
        
        <description>In order to tackle the growth of air travelers in airports worldwide, it is important to simulate and understand passenger flows to predict future capacity constraints and levels of service.  We discuss the ability of agent-based models to understand complicated pedestrian movement in built environments. In this paper we propose advanced passenger traits to enable more detailed modelling of behaviors in terminal buildings, particularly in the departure hall around the check-in facilities. To demonstrate the concepts, we perform a series of passenger agent simulations in a virtual airport terminal. In doing so, we generate a spatial distribution of passengers within the departure hall to ancillary facilities such as cafes, information kiosks and phone booths as well as common check-in facilities, and observe the effects this has on passenger check-in and departure hall dwell times, and facility utilization.</description>
        <publisher>IEEE</publisher>
        <contributor>Fu, Michael</contributor>
        <contributor>White, K. Preston</contributor>
        <date>2011-12-18</date>
        <type>conference paper</type>
        <format>application/pdf</format>
        <relation>https://eprints.qut.edu.au/42377/1/42377A.pdf</relation>
        <relation>http://informs-sim.org/wsc11papers/prog11.html</relation>
        <relation>   Ma, Wenbo, Kleinschmidt, Tristan, Fookes, Clinton,  & Yarlagadda, Prasad K.D.V.   (2011)   Check-in processing : simulation of passengers with advanced traits. In  Fu, Michael & White, K. Preston (Eds.)  Proceedings of the 2011 Winter Simulation Conference, IEEE, Phoenix, Arizona, USA.    </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/42377/</identifier>
        <rights>Copyright 2011 IEEE</rights>
        <source>Faculty of Built Environment and Engineering</source><subject>Air Transportation and Freight Services (150701)</subject><subject>Agent-based model</subject><subject>Airport</subject><subject>Passenger</subject><subject>Simulation</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2011-12-18</issued><holdingsCount>1</holdingsCount></version></work><work id="157277656" url="/work/157277656"><troveUrl>http://trove.nla.gov.au/work/157277656</troveUrl><title>Unusual Event Detection in Crowded Scenes Using Bag of LBPs in spatio-temporal patches</title><contributor>Xu, Jingxin</contributor><contributor> Denman, Simon</contributor><contributor> Fookes, Clinton B</contributor><contributor> Sridharan, Sridha</contributor><issued>2011</issued><type>Article/Conference paper</type><type>Article</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.011377303">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/46301/</identifier><version id="171453636"><record><header>
      <identifier>oai:eprints.qut.edu.au:46301</identifier>
      <datestamp>2017-07-06T20:02:27Z</datestamp>
      <setSpec>74797065733D636F6E666572656E63655F7061706572</setSpec>
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      <setSpec>66756E64696E675F6167656E63793D415243</setSpec></header><metadata>
      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
        <title>Unusual Event Detection in Crowded Scenes Using Bag of LBPs in spatio-temporal patches</title>
        <creator>Xu, Jingxin</creator>
        <creator>Denman, Simon</creator>
        <creator>Fookes, Clinton B.</creator>
        <creator>Sridharan, Sridha</creator>
        
        <description>Modelling events in densely crowded environments
remains challenging, due to the diversity of events and the noise in the scene. We propose a novel approach for anomalous event detection in crowded scenes using dynamic textures described by the Local Binary Patterns from Three Orthogonal Planes (LBP-TOP) descriptor. The scene is divided into spatio-temporal patches where LBP-TOP based dynamic textures are extracted. We apply hierarchical Bayesian models to detect the patches containing unusual events. Our method is an unsupervised approach, and it does not rely on object tracking or background subtraction. We show that our approach outperforms existing state of the art algorithms for anomalous event detection in UCSD
dataset.</description>
        <publisher>IEEE</publisher>
        <date>2011</date>
        <type>conference paper</type>
        <format>application/pdf</format>
        <relation>https://eprints.qut.edu.au/46301/1/PID133_xu.pdf</relation>
        <relation>http://itee.uq.edu.au/~dicta2011/</relation>
        <relation>   Xu, Jingxin, Denman, Simon, Fookes, Clinton B.,  & Sridharan, Sridha   (2011)   Unusual Event Detection in Crowded Scenes Using Bag of LBPs in spatio-temporal patches. In  DICTA 2011, IEEE, Noosa, QLD, Australia.    </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/46301/</identifier>
        <rights>Copyright 2011 IEEE.</rights>
        <source>Faculty of Built Environment and Engineering; Information Security Institute</source><subject>Artificial Intelligence and Image Processing not elsewhere classified (080199)</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2011</issued><holdingsCount>1</holdingsCount></version></work><work id="157569324" url="/work/157569324"><troveUrl>http://trove.nla.gov.au/work/157569324</troveUrl><title>Compressive sensing for gait recognition</title><contributor>Sivapalan, Sabesan</contributor><contributor> Rana, Rajib.K</contributor><contributor> Chen, Daniel</contributor><contributor> Sridharan, Sridha</contributor><contributor> Denman, Simon</contributor><contributor> Fookes, Clinton B</contributor><issued>2011</issued><type>Article/Conference paper</type><type>Article</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.011377303">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/46383/</identifier><version id="171755473"><record><header>
      <identifier>oai:eprints.qut.edu.au:46383</identifier>
      <datestamp>2017-06-28T17:16:22Z</datestamp>
      <setSpec>74797065733D636F6E666572656E63655F7061706572</setSpec>
      <setSpec>7374617475733D707562</setSpec>
      <setSpec>7375626A656374733D616E7A737263:303830303030:303830313030:303830313034</setSpec>
      <setSpec>7375626A656374733D616E7A737263:303830303030:303830313030:303830313036</setSpec>
      <setSpec>66756E64696E675F6167656E63793D415243</setSpec></header><metadata>
      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
        <title>Compressive sensing for gait recognition</title>
        <creator>Sivapalan, Sabesan</creator>
        <creator>Rana, Rajib.K</creator>
        <creator>Chen, Daniel</creator>
        <creator>Sridharan, Sridha</creator>
        <creator>Denman, Simon</creator>
        <creator>Fookes, Clinton B.</creator>
        
        
        
        
        
        
        
        <description>Compressive Sensing (CS) is a popular signal processing technique, that can exactly reconstruct a signal given a small number of random projections of the original signal, provided that the signal is sufficiently sparse. We demonstrate the applicability of CS in the field of gait recognition as a very effective dimensionality reduction technique, using the gait energy image (GEI) as the feature extraction process. We compare the CS based approach to the principal component analysis (PCA) and show that the proposed method outperforms this baseline, particularly under situations where there are appearance changes in the subject. Applying CS to the gait features also avoids the need to train the models, by using a generalised random projection.</description>
        <publisher>IEEE</publisher>
        <date>2011-12-08</date>
        <type>conference paper</type>
        <format>application/pdf</format>
        <relation>https://eprints.qut.edu.au/46383/1/Sabesan_DICTA_camera_ready.pdf</relation>
        <relation>http://itee.uq.edu.au/~dicta2011/</relation>
        <relation>   Sivapalan, Sabesan, Rana, Rajib.K, Chen, Daniel, Sridharan, Sridha, Denman, Simon,  & Fookes, Clinton B.   (2011)   Compressive sensing for gait recognition. In  Proceedings of Digital Image Computing : Techniques and Applications (DICTA2011), IEEE, Sheraton Noosa Resort & Spa, Sunshine Coast, QLD.    </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/46383/</identifier>
        <rights>Copyright 2011 [please consult the authors]</rights>
        <source>Faculty of Built Environment and Engineering; Information Security Institute</source><subject>Computer Vision (080104)</subject><subject>Image Processing (080106)</subject><subject>Compressive sensing</subject><subject>Sparse learning</subject><subject>Principal component analysis</subject><subject>Gait recogntion</subject><subject>Gait energy image</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2011-12-08</issued><holdingsCount>1</holdingsCount></version></work><work id="168122309" url="/work/168122309"><troveUrl>http://trove.nla.gov.au/work/168122309</troveUrl><title>Activity analysis in complicated scenes using DFT coefficients of particle trajectories</title><contributor>Xu, Jingxin</contributor><contributor> Denman, Simon</contributor><contributor> Fookes, Clinton B</contributor><contributor> Sridharan, Sridha</contributor><issued>2012</issued><type>Article/Conference paper</type><type>Article</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.011377303">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/51041/</identifier><version id="183287945"><record><header>
      <identifier>oai:eprints.qut.edu.au:51041</identifier>
      <datestamp>2017-07-10T09:54:12Z</datestamp>
      <setSpec>74797065733D636F6E666572656E63655F7061706572</setSpec>
      <setSpec>7374617475733D707562</setSpec>
      <setSpec>7375626A656374733D616E7A737263:303830303030:303830313030</setSpec>
      <setSpec>7375626A656374733D616E7A737263:303930303030:303930363030:303930363039</setSpec>
      <setSpec>66756E64696E675F6167656E63793D415243</setSpec></header><metadata>
      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
        <title>Activity analysis in complicated scenes using DFT coefficients of particle trajectories</title>
        <creator>Xu, Jingxin</creator>
        <creator>Denman, Simon</creator>
        <creator>Fookes, Clinton B.</creator>
        <creator>Sridharan, Sridha</creator>
        
        
        
        
        
        <description>Modelling activities in crowded scenes is very challenging
as object tracking is not robust in complicated scenes
and optical flow does not capture long range motion. We
propose a novel approach to analyse activities in crowded
scenes using a “bag of particle trajectories”. Particle trajectories
are extracted from foreground regions within short
video clips using particle video, which estimates long range
motion in contrast to optical flow which is only concerned
with inter-frame motion. Our applications include temporal
video segmentation and anomaly detection, and we perform
our evaluation on several real-world datasets containing
complicated scenes. We show that our approaches achieve
state-of-the-art performance for both tasks.</description>
        <date>2012-06-25</date>
        <type>conference paper</type>
        <format>application/pdf</format>
        <relation>https://eprints.qut.edu.au/51041/1/51041Auth.pdf</relation>
        <relation>http://www.avss2012.org/</relation>
        <relation>   Xu, Jingxin, Denman, Simon, Fookes, Clinton B.,  & Sridharan, Sridha   (2012)   Activity analysis in complicated scenes using DFT coefficients of particle trajectories. In  9th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2012), 18-21 September 2012, Beijing, China.   </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/51041/</identifier>
        <rights>Copyright 2012 Please consult the authors.</rights>
        <source>Information Security Institute; Science & Engineering Faculty</source><subject>ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)</subject><subject>Signal Processing (090609)</subject><subject>object tracking</subject><subject>optical flow</subject><subject>particle trajectories</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2012-06-25</issued><holdingsCount>1</holdingsCount></version></work><work id="168122310" url="/work/168122310"><troveUrl>http://trove.nla.gov.au/work/168122310</troveUrl><title>Unusual scene detection using distributed behaviour model and sparse representation</title><contributor>Xu, Jingxin</contributor><contributor> Denman, Simon</contributor><contributor> Fookes, Clinton B</contributor><contributor> Sridharan, Sridha</contributor><issued>2012</issued><type>Article/Conference paper</type><type>Article</type><holdingsCount>1</holdingsCount><versionCount>1</versionCount><relevance score="0.011377303">limited relevance</relevance><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/51042/</identifier><version id="183287946"><record><header>
      <identifier>oai:eprints.qut.edu.au:51042</identifier>
      <datestamp>2017-06-28T20:19:30Z</datestamp>
      <setSpec>74797065733D636F6E666572656E63655F7061706572</setSpec>
      <setSpec>7374617475733D707562</setSpec>
      <setSpec>7375626A656374733D616E7A737263:303830303030:303830313030</setSpec>
      <setSpec>7375626A656374733D616E7A737263:303930303030:303930363030:303930363039</setSpec>
      <setSpec>66756E64696E675F6167656E63793D415243</setSpec></header><metadata>
      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
        <title>Unusual scene detection using distributed behaviour model and sparse representation</title>
        <creator>Xu, Jingxin</creator>
        <creator>Denman, Simon</creator>
        <creator>Fookes, Clinton B.</creator>
        <creator>Sridharan, Sridha</creator>
        
        
        <description>The ability to detect unusual events in surviellance footage as they happen is a highly desireable feature for a surveillance system. However, this problem remains challenging in crowded scenes due to occlusions and the clustering of people. In this paper, we propose using the Distributed Behavior Model (DBM), which has been widely used in computer graphics, for video event detection. Our approach does not rely on object tracking, and is robust to camera movements. We use sparse coding for classification, and test our approach on various datasets. Our proposed approach outperforms a state-of-the-art work which uses the social force model and Latent Dirichlet Allocation.</description>
        <publisher>Institute of Electrical and Electronics Engineers (IEEE)</publisher>
        <date>2012-06-25</date>
        <type>conference paper</type>
        <format>application/pdf</format>
        <relation>https://eprints.qut.edu.au/51042/1/PID2404949.pdf</relation>
        <relation>DOI:10.1109/AVSS.2012.80</relation><relation>http://doi.org/10.1109/AVSS.2012.80</relation>
        <relation>   Xu, Jingxin, Denman, Simon, Fookes, Clinton B.,  & Sridharan, Sridha   (2012)   Unusual scene detection using distributed behaviour model and sparse representation. In  2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance (AVSS), Institute of Electrical and Electronics Engineers (IEEE), Beijing, China, pp. 48-53.    </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/51042/</identifier>
        <rights>Copyright 2012 IEEE</rights>
        <source>Information Security Institute; Science & Engineering Faculty</source><subject>ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)</subject><subject>Signal Processing (090609)</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2012-06-25</issued><holdingsCount>1</holdingsCount></version></work><work id="155722411" url="/work/155722411"><troveUrl>http://trove.nla.gov.au/work/155722411</troveUrl><title>A transformation workbench for building information models</title><contributor>Steel, James</contributor><contributor> Duddy, Keith</contributor><contributor> Drogemuller, Robin</contributor><issued>2011</issued><type>Article</type><type>Article/Conference paper</type><type>Article/Journal or magazine article</type><holdingsCount>2</holdingsCount><versionCount>2</versionCount><relevance score="0.011377303">limited relevance</relevance><snippet> of the popular CAD tools, defined in the STEP/Express technical space. Because the majority of <b>research</b> in MDE has</snippet><identifier type="url" linktype="fulltext">https://eprints.qut.edu.au/52425/</identifier><version id="184182037"><record><header>
      <identifier>oai:eprints.qut.edu.au:52425</identifier>
      <datestamp>2017-07-16T09:02:13Z</datestamp>
      <setSpec>74797065733D61727469636C65</setSpec>
      <setSpec>7374617475733D707562</setSpec>
      <setSpec>7375626A656374733D616E7A737263:303830303030</setSpec>
      <setSpec>66756E64696E675F6167656E63793D415243</setSpec></header><metadata>
      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
        <title>A transformation workbench for building information models</title>
        <creator>Steel, James</creator>
        <creator>Duddy, Keith</creator>
        <creator>Drogemuller, Robin</creator>
        
        <publisher>Springer</publisher>
        <date>2011</date>
        <type>journal article</type>
        <relation>DOI:10.1007/978-3-642-21732-6_7</relation>
        <relation>   Steel, James, Duddy, Keith,  & Drogemuller, Robin   (2011)    A transformation workbench for building information models.  Lecture Notes in Computer Science: Theory and Practice of Model Transformations: 4th International Conference Proceedings, pp. 93-107.    </relation>
        <relation>http://purl.org/au-research/grants/arc/LP0990135</relation>
        <identifier>https://eprints.qut.edu.au/52425/</identifier>
        <source>Faculty of Built Environment and Engineering; Faculty of Science and Technology</source><subject>INFORMATION AND COMPUTING SCIENCES (080000)</subject></dc></metadata><metadataSource type="nuc">QUT:IR</metadataSource></record><type>Article</type><type>Article/Journal or magazine article</type><issued>2011</issued><holdingsCount>1</holdingsCount></version><version id="169754067"><record><header>
      <identifier>oai:espace.library.uq.edu.au:UQ:243510</identifier>
      <datestamp>2015-02-17T10:11:28Z</datestamp>
							      <setSpec>oai:espace.library.uq.edu.au:UQ:3801</setSpec>
				      <setSpec>oai:espace.library.uq.edu.au:UQ:237156</setSpec>
			    </header><metadata>
	      <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	            <title>A transformation workbench for building information models</title>
	
		





	





	
	
	
        <bibliographicCitation>
        Steel, Jim, Duddy, Keith and Drogemuller, Robin (2011). A transformation workbench for building information models. In: Jordi Cabot and Eelco Visser, Theory and Practice of Model Transformations - 4th International Conference, ICMT 2011 proceedings. 4th International Conference on Model Transformation (ICMT 2011), Zurich, Switzerland, (93-107). 27-28 June 2011. doi:10.1007/978-3-642-21732-6_7
    </bibliographicCitation><relation>http://doi.org/10.1007/978-3-642-21732-6_7
    </relation>
    
	
	
	

			<description>
					The building industry is undergoing a significant evolution, with increasing use of digital models during the design process and subsequent lifecycle of a building. These models, which span multiple design disciplines, multiple stakeholders, and many phases of the building’s life, represent an interesting study for the application of ideas from model-driven engineering, being large, complex, and highly interrelated. Building models are typically represented using the Industry Foundation Classes (IFC), an industry standard supported by many of the popular CAD tools, defined in the STEP/Express technical space. Because the majority of research in MDE has focussed on the Eclipse Modeling Framework (EMF) technical space, it has previously been difficult to experiment with IFC models using model-driven engineering tools and techniques. In this paper we describe a workbench which provides for the integration of the STEP and EMF technical spaces. We also describe a number of initial experiments in bringing model transformation techniques and tools to bear on the domain of building models, and propose some future work.
				</description>
	
        <type>conference paper</type>
        <date>2011-01-01</date>
																        <creator>Steel, Jim</creator>
							        <creator>Duddy, Keith</creator>
							        <creator>Drogemuller, Robin</creator>
																							        		<contributor>Jordi Cabot</contributor>
					        		<contributor>Eelco Visser</contributor>
									
		        
		

		
		

						        	<publisher>Springer</publisher>
												        			      			      <language>eng</language>
			      					

		


										            				            							        <identifier linktype="notonline">http://espace.library.uq.edu.au/view/UQ:243510</identifier>

		
	      </dc>
	




    </metadata><metadataSource type="nuc">QU:IR</metadataSource></record><type>Article</type><type>Article/Conference paper</type><issued>2011-01-01</issued><holdingsCount>1</holdingsCount></version></work></records></zone></response>
        

Examples

Click on any of the examples below to open them in this console. If you want to use them in your own code you'll need to get an API key and add '&key=[Your API key]' to the url.

See the Trove API documentation for a full list of available parameters and detailed information on constructing queries.

Search everything

Parameters url
  • zone: all
  • q (query): wragge
  • encoding: xml (default)
  • n (number of results): 20 (default)
http://api.trove.nla.gov.au/result?q=wragge&zone=all
  • zone: all
  • q (query): wragge
  • encoding: json
  • n (number of results): 50
http://api.trove.nla.gov.au/result?q=wragge&zone=all&encoding=json&n=50
  • zone: all
  • q (query): nuc:ANL (contributor id)
  • encoding: json
  • n (number of results): 50
http://api.trove.nla.gov.au/result?q=nuc:ANL&zone=all&encoding=json
  • zone: all
  • q (query): wragge
  • encoding: json
  • n (number of results): 20 (default)
  • l-australian: y (in Australia or by Australians)
  • l-availability: y/f (freely accessible online)
http://api.trove.nla.gov.au/result?q=wragge&zone=all&encoding=json&l-australia=y&l-availability=y/f

Search newspapers

Parameters url
  • zone: newspaper
  • q (query): wragge AND weather
  • encoding: json
  • n (number of results): 20 (default)
http://api.trove.nla.gov.au/result?q=wragge+AND+weather&zone=newspaper&encoding=json
  • zone: newspaper
  • q (query): wragge AND weather
  • encoding: json
  • l-year: 1903
  • l-category: Article
  • n (number of results): 20 (default)
http://api.trove.nla.gov.au/result?q=wragge AND weather&zone=newspaper&encoding=json&l-year=1903
  • zone: newspaper
  • q (query): wragge AND weather
  • encoding: json
  • l-decade: 190
  • facet: year
  • n (number of results): 0
http://api.trove.nla.gov.au/result?q=wragge AND weather&zone=newspaper&encoding=json&l-decade=190&facet=year&n=0

Search other zones

Parameters url
  • zone: book,picture
  • q (query): wragge AND weather
  • encoding: json
  • n (number of results): 20 (default)
http://api.trove.nla.gov.au/result?q=wragge AND weather&zone=book,picture&encoding=json
  • zone: book
  • q (query): weather
  • encoding: json
  • l-format: Thesis
  • n (number of results): 20 (default)
http://api.trove.nla.gov.au/result?q=weather&zone=book&encoding=json&l-format=Thesis
  • zone: book
  • q (query): weather
  • encoding: json
  • facet: format
  • n (number of results): 0
http://api.trove.nla.gov.au/result?q=weather&zone=book&encoding=json&facet=format&n=0
  • zone: list
  • q (query): war memorials
  • encoding: json
http://api.trove.nla.gov.au/result?q=war memorials&zone=list&encoding=json

Get record

Parameters url
  • type: newspaper
  • article id: 41697877
  • reclevel: full
  • encoding: json
http://api.trove.nla.gov.au/newspaper/41697877?encoding=json&reclevel=full
  • type: newspaper
  • article id: 146871507
  • reclevel: full
  • include: articletext
http://api.trove.nla.gov.au/newspaper/41697877?reclevel=full&include=articletext
  • type: work
  • article id: 36904481
  • reclevel: full
  • encoding: json
http://api.trove.nla.gov.au/work/36904481?encoding=json&reclevel=full
  • type: work
  • article id: 34769014
  • reclevel: full
  • include: workVersions,holdings
  • encoding: json
http://api.trove.nla.gov.au/work/34769014?encoding=json&include=workVersions,holdings&reclevel=full
  • type: list
  • list id: 1442
  • reclevel: full
  • include: listItems
  • encoding: json
http://api.trove.nla.gov.au/list/1442?encoding=json&reclevel=full&include=listItems

List/get newspaper titles

Parameters url
  • state: vic
http://api.trove.nla.gov.au/newspaper/titles?state=vic
  • title id: 35
  • encoding: json
http://api.trove.nla.gov.au/newspaper/title/35?encoding=json
  • title id: 35
  • include: years
  • encoding: json
http://api.trove.nla.gov.au/newspaper/title/35?encoding=json&include=years

List/get Trove contributors

Parameters url
  • encoding: json
http://api.trove.nla.gov.au/contributor?encoding=json
  • NUC identifier: ANL
  • reclevel: full
  • encoding: json
http://api.trove.nla.gov.au/contributor/ANL?encoding=json&reclevel=full