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 is comprehensively summarized. In this paper, Firstly, the author introduce the basic framework of target tracking based on Siamese network, and then analyze the advantages and disadvantages of shallow network and deep network, and focus on the application of optimized backbone network. Secondly, the target tracking algorithm of mainstream Siamese network based on visual attention mechanism and the algorithm with anchor and anchor-free is described in detail. The advantages and disadvantages of the algorithm as well as the target tracking performance are analyzed. Finally, the latest development and application of twin network target tracking algorithm are comprehensively analyzed. The future research focuses on the following aspects: 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 becomes richer and the target tracking box adaptive change. 3) From the global information transmission between frames to the target local information transmission research, to provide support for the accurate target positioning and tracking.