The position, velocity, motion trajectory and other information of the target are detected and predicted by visual target tracking. Computer vision, image processing, deep learning and many other technologies are integrated in visual target tracking. The development and research status of target tracking algorithm are introduced in this paper. Firstly, the commonly used benchmark data sets are introduced; Secondly, the difference between Generative Algorithm and discriminant algorithm is pointed out; In addition, the traditional generative algorithm is simply analyzed and summarized; Then, the discriminant algorithms of correlation filtering framework, deep learning framework, twin network framework and transformer framework are introduced, and the advantages and disadvantages of different algorithms are analyzed; Finally, the existing problems of dynamic target tracking are analyzed and prospected.