Towards detecting patterns of human behaviour from image sequences Hosie, Robin, Venkatesh, Svetha and West, Geoff 1995, Towards detecting patterns of human behaviour from image sequences, in AI'95 : Proceedings of the Artificial Intelligence in Defence Workshop : 8th Australian Joint Conference on Artificial Intelligence, DSTO Aeronautical and Maritime Research Laboratory, Melbourne, Vic., pp. 109-121. Attached Files Name Description MIMEType Size Downloads Title Towards detecting patterns of human behaviour from image sequences Author(s) Hosie, Robin Venkatesh, Svetha West, Geoff Conference name Artificial Intelligence in Defence Workshop (8th : 1995 : Canberra, A. C. T.) Conference location Canberra, A. C. T. Conference dates 14 Nov. 1995 Title of proceedings AI'95 : Proceedings of the Artificial Intelligence in Defence Workshop : 8th Australian Joint Conference on Artificial Intelligence Editor(s) Goss, Simon Publication date 1995 Conference series Artificial Intelligence in Defence Workshop Start page 109 End page 121 Total pages 13 Publisher DSTO Aeronautical and Maritime Research Laboratory Place of publication Melbourne, Vic. Keyword(s) digital computer images sequence active cameras automatic detection Summary This paper details research that will explore the analysis of human behaviour via video surveillance. Digital computer images will be obtained from video footage of a real world scene, and positions of people in the scene will be identified and tracked through each frame in the sequence. The noted positions will build into a pattern of motion that can be examined and classified. It is proposed that specific events, such as panic or fight situations, will have unique, and therefore identifying, characteristics that will enable automatic detection of such events. It is envisaged that active cameras will be used when a situation of interest occurs, to enable more information to be extracted from the scene (e.g., panning to follow action, or zooming to enhance detail.) 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 Copyright notice ©1997, Commonwealth of Australia Persistent URL http://hdl.handle.net/10536/DRO/DU:30044827 Document type: Conference Paper Collection: School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     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, 11:00:48 EST Mon, 07 May 2012, 10:49:03 EST Mon, 07 May 2012, 10:53:51 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 235 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2012, 11:00:48 EST

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