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In some complex scenes of tracking, the traditional color feature based target tracking algorithm may have the unstable tracking. To solve this problem, a color and texture feature based target tracking algorithm is proposed. The texture feature is added in the traditional color Mean-shift based target tracking algorithm, and both the texture and the color features are extracted together. According to the sequence principle, the traditional color based mean drift tracking algorithm is still used to search the new position of the target, but, in each iteration process, the texture feature is used to search the optimal target position which has the largest similar feature. And the eight neighborhood search method(8areas with the same size are expanded around the candidate area)is applied to solve the problem of partial occlusion. The comparative experiments show that the algorithm has better robustness and realtime performance in complex scenes. [ABSTRACT FROM AUTHOR]