Under illumination variation,similar background interference and target occlusion,continuous adaptive mean shift(Camshift)algorithm has low robustness and is easy to track astray.For solving this problem,a video target tracking algorithm based on multi-feature and Otsu algorithm is presented.This algorithm fuses color histogram,histogram of oriented gradient and LBP texture feature.An efficient target appearance characteristic model based on joint histograms was built.Meanwhile,Otsu algorithm was embedded to Camshift algorithm,which can enhance distinction degree between target and the background.Video target tracking results of different scenes show that the improved algorithm can effectively overcome the disadvantages of the traditional Camshift algorithm,such as illumination variation,similar background interference and target occlusion.Compared with the other algorithms,the improved algorithm has higher robustness.