An adaptive mean shift particle filter for moving objects tracking

Xun Wang; Yufei Zha; Duyan Bi

doi:10.1117/12.725431

29 January 2007 An adaptive mean shift particle filter for moving objects tracking

Xun Wang, Yufei Zha, Duyan Bi

Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62794N (2007) https://doi.org/10.1117/12.725431
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China

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.

Citation Download Citation

Xun Wang, Yufei Zha, and Duyan Bi "An adaptive mean shift particle filter for moving objects tracking", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62794N (29 January 2007); https://doi.org/10.1117/12.725431

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