Coordination of multiple cameras to track multiple people Nguyen, Nam T., Venkatesh, Svetha, West, Geoff and Bui, Hung H. 2002, Coordination of multiple cameras to track multiple people, in ACCV 2002 : Proceedings of the 5th Asian Conference on Computer Vision, Asian Federation of Computer Vision Societies, [Tokyo, Japan], pp. 302-307. Attached Files Name Description MIMEType Size Downloads Title Coordination of multiple cameras to track multiple people Author(s) Nguyen, Nam T. Venkatesh, Svetha orcid.org/0000-0001-8675-6631 West, Geoff Bui, Hung H. Conference name Asian Conference on Computer Vision (5th : 2002 : Melbourne, Vic.) Conference location Melbourne, Vic. Conference dates 23-25 Jan. 2002 Title of proceedings ACCV 2002 : Proceedings of the 5th Asian Conference on Computer Vision Editor(s) Suter, D. Bab-Hadiashar, A. Publication date 2002 Conference series Asian Conference on Computer Vision Start page 302 End page 307 Total pages 6 Publisher Asian Federation of Computer Vision Societies Place of publication [Tokyo, Japan] Keyword(s) distributed surveillance system static cameras tracking algorithm occlusion Summary In this paper, we present a distributed surveillance system that uses multiple cheap static cameras to track multiple people in indoor environments. The system has a set of Camera Processing Modules and a Central Module to coordinate the tracking tasks among the cameras. Since each object in the scene can be tracked by a number of cameras, the problem is how to choose the most appropriate camera for each object. We propose a novel algorithm to allocate objects to cameras using the object-to-camera distance while taking into account occlusion. The algorithm attempts to assign objects in the overlapping fields of view to the nearest camera which can see the object without occlusion. Experimental results show that the system can coordinate cameras to track people properly and can deal well with occlusion. ISBN 0958025606 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:30044896 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version 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, 11:05:07 EST Tue, 08 May 2012, 12:04:14 EST Tue, 08 May 2012, 12:05:53 EST Tue, 28 Jan 2014, 14:45:49 EST Tue, 24 Jun 2014, 08:58:22 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 491 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2012, 11:05:07 EST

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