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The Improvement of Mean-Shift Algorithm in Target Tracking
Danping Jia,Lifeng Zhang,Chunhua Li 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.2
The bandwidth of kernel function is invariance in Mean-Shift tracking process which led to the problem of actual process of tracking failure. To solve this question a method is proposed to combine object contour, RGB color histogram and Mean-Shift tracking algorithm. In each frame the contour and color feature of target object are extracted to as a model. Meanwhile the size of contour is used as the bandwidth for kernel function in the next frame. Based on this Method the accuracy of Mean-Shift tracking is improved and the error of Mean-Shift tracking is reduced.