Dynamic Selection of Histogram Resolution for the Mean-Shift Tracking Algorithm

Abstract

The mean-shift tracking algorithm uses the tracker that scans locally according to the gradient of color features so that targets can be estimated faster. A method of determination of the histogram resolution used for constructing the weight distribution is proposed. The method uses the variance ratio of the target and the background color histograms. Actually, some experimental results showed the effectiveness of the proposal method. And the correlation between the background region area size and the tracking accuracy of proposed method is shown by some experimental results.