An improved Mean-shift tracking algorithm based on color and texture feature

Abstract

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.