Abstract：For improving the performance of traditional tracking algorithm based on the single color feature, a target tracking algorithm is proposed based on the joint-feature histogram and mean shift. The description capacity of the target character is enhanced by combining the advantage of color, edge and movement. To overcome the tracking impact of environment’s color and outline, the kernel function of color and edge model are corrected by using movement information, and the joint-feature histogram is gained according to the adaptive fusion method of multi-feature weights. Target tracking is realized by integrate the model into the mean shift tracking frame. Experimental results show the higher accuracy of the proposed method.