Abstract: The application of video surveillance in life has been quite extensive,especially the main target tracking is widely used in daily life,and it is a difficult part in the computer vision.In the real video scene,there are many complex target appearance changes,such as partial occlusion,light changes,etc.These have a greater impact on the Mean-Shift tracking algorithm.In order to solve the problem of inaccurate tracking caused by the above complex environment,this paper fused the color and Gabor-LBP edge features in Mean-Shift tracking algorithm,and introduced the quadratic polynomial to predict the position of the video target,to improve the tracking accuracy.

Key words: Feature fusion, Mean-Shift, Object tracking, Quadratic polynomial, Texture feature