Abstract: Meanshift algorithm doesn’t use the target’s motion direction and speed information in process of target tracking. When affected by disturbance it easily fails to track the target. Kalman filtering can predict the position and velocity of the target exactly. An algorithm combined Kalman filtering with meanshift algorithm is proposed in this paper. Kalman filtering is used to predict the position and velocity of the target. According to different disturbance circumstances, the two algorithms tracking results are done with liner weight method by using different scale factors to get the final position of the target. Experimental results show the good performances of the proposed algorithm.