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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.

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Title Coordination of multiple cameras to track multiple people
Author(s) Nguyen, Nam T.
Venkatesh, SvethaORCID iD for 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
Collection: School of Information Technology
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