Detecting deviations from known paths and speeds in a surveillance situation Hosie, Robin, Venkatesh, Svetha and West, Geoff 1996, Detecting deviations from known paths and speeds in a surveillance situation, in ICARCV 1996 : fourth International Conference on Control, Automation, Robotics and Vision : proceedings 4-6 December 1996, Westin Stamford, Singapore, Nanyang Technological University, Singapore, pp. [unknown]-[unknown]. Attached Files Name Description MIMEType Size Downloads Title Detecting deviations from known paths and speeds in a surveillance situation Author(s) Hosie, Robin Venkatesh, Svetha orcid.org/0000-0001-8675-6631 West, Geoff Conference name International Conference on Automation, Robotics and Computer Vision (4th : 1996: Singapore) Conference location Singapore Conference dates 3-6 Dec. 1996 Title of proceedings ICARCV 1996 : fourth International Conference on Control, Automation, Robotics and Vision : proceedings 4-6 December 1996, Westin Stamford, Singapore Editor(s) [Unknown] Publication date 1996 Conference series International Conference on Automation, Robotics and Computer Vision Start page [unknown] End page [unknown] Total pages 5 Publisher Nanyang Technological University Place of publication Singapore Keyword(s) automation robotics computer vision Summary This paper presents techniques for analysing human behaviour via video surveillance. In known scenes under surveillance, common paths of movement between entry and exit points are obtained and classified. These are used, together with a priori velocity data, to serve as a model of normal traffic flow in the scene. Surveillance sequences are then processed to extract and track the movement of people in the scene, which is compared with the models to enable detection of abnormal movement ISBN 9789810085513 9810085516 Language eng Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30044904 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 01 May 2012, 11:05:38 EST Wed, 09 May 2012, 16:41:33 EST Wed, 09 May 2012, 16:42:54 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 498 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2012, 11:05:38 EST

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