Target tracking algorithm based on feature needs the feature matching between the target region in the former frame and the latter frame,but the traditional tracking algorithm based on SURF(speeded up robust features)cannot meet the requirements of real-time due to long matching time.To solve this problem,the specific block parallel solution for SURF extraction is proposed,including adaptively setting the overlap blocked area,removing redundancy feature points and eliminating the discrete feature points by using distance threshold method,and then,the real-time update of template and adaptive shelter-resisting process are used to ensure the algorithm performance.After that,the tracking error and processing time of proposed algorithm are compared with those of the traditional SURF under the same conditions.The experiment indicates that for the tracking target in the video,the proposed algorithm has superiority in tracking error and processing time than the tracking algorithm based on traditional SURF,and the occlusion experiment indicates the necessity and practicability of the shelter-resisting dispose in proposed algorithm.