This paper focuses on the problem of tracking people through occlusions by scene objects. Rather than relying on models of the scene to predict when occlusions will occur as other researchers have done, this paper proposes a linear dynamic system that switches between two alternatives of the position measurement in order to handle occlusions as they occur. The filter automatically switches between a foot-based measure of position (assuming z = Q) to a head-based position measure (given the person's height) when an occlusion of the person's lower body occurs. No knowledge of the scene or its occluding objects is used. Unlike similar research [2, 14], the approach does not assume a fixed height for people and so is able to track humans through occlusions even when they change height during the occlusion. The approach is evaluated on three furnished scenes containing tables, chairs, desks and partitions. Occlusions range from occlusions of legs, occlusions whilst being seated and near-total occlusions where only the person's head is visible. Results show that the approach provides a significant reduction in false-positive tracks in a multi-camera environment, and more than halves the number of lost tracks in single monocular camera views.
History
Event
International Conference on Pattern Recognition (18th : 2006 : Hong Kong, China)
Pagination
929 - 934
Publisher
IEEE
Location
Hong Kong, China
Place of publication
Washington, D. C.
Start date
2006-08-20
End date
2006-08-24
ISSN
1051-4651
ISBN-13
9780769525211
ISBN-10
0769525210
Language
eng
Notes
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Publication classification
E1.1 Full written paper - refereed
Copyright notice
2006, IEEE
Title of proceedings
ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition