Improving tracking by handling occlusions

Authors:
Daniel Rowe;Ignasi Rius;Jordi Gonzàlez;Juan J. Villanueva
Affiliations:
Computer Vision Centre/Department of Computer Science, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain;Computer Vision Centre/Department of Computer Science, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain;Computer Vision Centre/Department of Computer Science, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain;Computer Vision Centre/Department of Computer Science, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
Venue:
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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Abstract

Keeping track of a target by successive detections may not be feasible, whereas it can be accomplished by using tracking techniques. Tracking can be addressed by means of particle filtering. We have developed a new algorithm which aims to deal with some particle-filter related problems while coping with expected difficulties. In this paper, we present a novel approach to handling complete occlusions. We focus also on the target-model update conditions, ensuring proper tracking. The proposal has been successfully tested in sequences involving multiple targets, whose dynamics are highly non-linear, moving over clutter.