Abstract
Background subtraction method is a tracking method only based on motion information. It cannot make a distinction between the foreground objects detected. The feature-based tracking methods need to select the appropriate prediction and search algorithm. But the algorithm complexity and amount of computation is large for the multi-target tracking. Therefore, this paper presents the method based on the combination of background subtraction and color feature. For improving the weak points of the traditional background subtraction method based on grayscale image, it is proposed to use the background subtraction based on RGB color difference. It improves the integrity of the foreground regions that makes better effect of the color feature matching. The experimental results show that in the multi-target tracking applications, the proposed method is simple and easy to implement. It can be used to track the targets with specific color feature and has high robustness.
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