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A Multi-Feature Fusion Tracking Method Based on Mean Shift and Particle Filter

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Abstract:

In order to improve the robustness of visual tracking in complex environments, a novel multi-feature fusion tracking method based on mean shift and particle filter is proposed. In the proposed method, the color and shape information are adaptively fused to represent the target observation, and incorporating mean shift method into particle filter method. The method can overcome the degeneracy problem of particle. Experimental results demonstrate that this method can improve stability and accuracy of tracking.

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Periodical:

Applied Mechanics and Materials (Volumes 701-702)

Pages:

257-260

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.701-702.257

Citation:

Cite this paper

Online since:

December 2014

Authors:

Ming Jie Zhang*, Bao Sheng Kang

Keywords:

Feature Fusion, Mean Shift, Object Tracking, Particle Filter

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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