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J4  2012, Vol. 46 Issue (2): 212-217    DOI: 10.3785/j.issn.1008-973X.2012.02.005
An improved Mean-shift tracking algorithm based on
color and texture feature
DAI Yuan-ming, WEI Wei, LIN Yi-ning
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
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Aimed at the defect of classic Mean-shift tracking algorithm which is vulnerable to similar background inference for using single color feature, an improved color and texture features combined Mean-shift tracking algorithm is presented. Feature joint similarity was introduced for the first time. By maximizing the integrated similarity using Mean-shift algorithm the center of target in the new frame can be obtained accurately and rapidly. Experiments show that the proposed algorithm provides more reliable performance while satisfying the real-time requirements of general target tracking tasks.

Published: 20 March 2012
CLC:  TP 391.41  
Cite this article:

DAI Yuan-ming, WEI Wei, LIN Yi-ning. An improved Mean-shift tracking algorithm based on
color and texture feature. J4, 2012, 46(2): 212-217.

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