In order to solve the problem of complex environmental impact and serious occlusion during the object tracking in the sequence images, a hybrid particle filter tracking method based on the global and local information was proposed. The block texture histogram was imported into the traditional particle filter algorithm and made the algorithm be able to improve the robustness of the tracking algorithm which included the spatial information of target. The adaptability and occlusion resistance of the tracking algorithm was improved since adjusting adaptively the contribution of the global and local information by the degree of the object occlusion. Experimental results show that the proposed tracking algorithm exhibits good result in the presence of partial occlusion and serious occlusion.