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Multi-object tracking using the particle filter algorithm on the top-view plan | IEEE Conference Publication | IEEE Xplore

Multi-object tracking using the particle filter algorithm on the top-view plan


Abstract:

In this paper we address the problem of multi-object tracking in video sequences, with application to pedestrian tracking in a crowd. In this context, particle filters pr...Show More

Abstract:

In this paper we address the problem of multi-object tracking in video sequences, with application to pedestrian tracking in a crowd. In this context, particle filters provide a robust tracking framework under ambiguity conditions. The particle filter technique is used in this work, but in order to reduce its computational complexity and increase its robustness, we propose to track the moving objects by generating hypotheses not in the image plan but on the top-view reconstruction of the scene. Comparative results on real video sequences show the advantage of our method for multi-object tracking.
Date of Conference: 06-10 September 2004
Date Added to IEEE Xplore: 06 April 2015
Print ISBN:978-320-0001-65-7
Conference Location: Vienna, Austria

References

References is not available for this document.