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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].

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Title Detecting deviations from known paths and speeds in a surveillance situation
Author(s) Hosie, Robin
Venkatesh, Svetha
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
Collection: School of Information Technology
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