For the traditional mean shift tracking algorithm based on histogram, tracking is failing when the target appears under the complicated tracking conditions. It can’t significantly distinguish color-similar targets and backgrounds. A kind of mean shift tracking algorithm based on spatiogram corrected background weighted histogram is proposed, and its detailed derivation is given. Targeting positioning is enhaced by reducing background prominent feature in target models. Experiment results show that the algorithm can effectively track the targets on complicated situations of occlusion and illumination variations, and can improve the limitations that traditional mean shift template can’t be updated.