In order to improve the performance of the Spatio-Temporal Context(STC) algorithm in anti-occlusion object tracking, using context model similarity as the judge criterion of occlusion and also the correction coefficient of context model renewal equation, an anti-occlusion object tracking algorithm based on STC tracking is proposed. The simulation and comparison are carried out by the standard target tracking video library. The experimental results show that the robustness of the anti-occlusion tracking is improved on the basis of the original algorithm. In some image sequences, the tracking success rate can be increased by 30%.