A visual object tracking method based on particle filter and multiple cues is presented. According to the problems in color-based tracking,our proposed method integrates color information with motion information,and the weights of particles are determined by this integration. The resample strategy is also used to cope with the impact of degeneration. We simulate different algorithms and compare their performance on two pieces of video. The experiments show that our method makes the tracking more robust with a moderate increase in computation. Especially when the object is similar with the background in color,it still can be accurately locked.