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In view of the traditional mean-shift tracking algorithm based on single color feature space, and it is difficult to accurately track the target in complex background, and a mean-shift target tracking algorithm based on ORB feature matching is putted forward. The algorithm on the basis of mean shift algorithm and using the improved orb feature matching algorithm to modified object tracking window and update the target feature template timely. Determination tracking failure through calculate Euclidean distance of the center of the target and color template Bhattacharyya distance of the target in adjacent two frames. When the target tracking failure, it does not change the target template and continue to search for target in the next frame image. The experimental results show that, compared with mean shift algorithm and other improved algorithms based on similar features, the proposed algorithm can improve the accuracy of target tracking in complex background, and can meet the requirement of real time