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Proceedings Paper

An adaptive mean shift particle filter for moving objects tracking
Author(s): Xun Wang; Yufei Zha; Duyan Bi
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Paper Abstract

In this paper, we integrate mean shift algorithm into the particle filter as the proposal distribution, and adaptively modify the tracking step according to the process of mean shift algorithm. It can be used through the searching for the most matching region with the feature, such as color, texture, etc, which should first be drawn from the targets. Experiments show that it is an efficient and powerful method for tracking fast moving objects in clutter even with occlusions.

Paper Details

Date Published: 29 January 2007
PDF: 7 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62794N (29 January 2007); doi: 10.1117/12.725431
Show Author Affiliations
Xun Wang, Air Force Engineering Univ. (China)
Yufei Zha, Air Force Engineering Univ. (China)
Duyan Bi, Air Force Engineering Univ. (China)

Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics
Xun Hou; Wei Zhao; Baoli Yao, Editor(s)

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