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.
History
Event
Asian Conference on Computer Vision (5th : 2002 : Melbourne, Vic.)
Pagination
302 - 307
Publisher
Asian Federation of Computer Vision Societies
Location
Melbourne, Vic.
Place of publication
[Tokyo, Japan]
Start date
2002-01-23
End date
2002-01-25
ISBN-10
0958025606
Language
eng
Publication classification
E1.1 Full written paper - refereed
Editor/Contributor(s)
D Suter, A Bab-Hadiashar
Title of proceedings
ACCV 2002 : Proceedings of the 5th Asian Conference on Computer Vision