In recent years,the target tracking algorithm based on Siamese network has attracted much attention because it can achieve a good balance between tracking accuracy and tracking efficiency.Through the intensive study of the literature of target tracking algorithm based on Siamese network,the existing target tracking algorithm based on Siamese network was comprehensively summarized.Firstly,the basic framework of target tracking was introduced based on Siamese network,and the optimized backbone network in Siamese network and its target feature extraction were analyzed.Secondly,the classification and regression tasks in the process of target tracking were discussed,which were divided into two categories of anchor frame and anchor-free frame.The advantages and disadvantages of the algorithm as well as the target tracking performance were analyzed through experimental comparison.Finally,the focus of future research is proposed as following:1) Explore the training of background information,realize the dissemination of background information in the scene,and make full use of background information to achieve target positioning.2) In the process of target tracking,the target feature information is enriched and the target tracking frame is changed adaptively.3) Research from the global information transmission between frames to the target local information transmission provides support for the accurate target positioning and tracking.