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.
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