Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (6): 10-18.DOI: 10.3778/j.issn.1002-8331.1911-0127

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Survey of Target Tracking Algorithm Based on Siamese Network Structure

CHEN Yunfang, WU Yi, ZHANG Wei   

  1. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
  • Online:2020-03-15 Published:2020-03-13



  1. 南京邮电大学 计算机学院,南京 210023


In recent years, the correlation filtering and deep learning theory has developed rapidly and has been widely used in target tracking. However, there are problems in accuracy or speed. The method based on siamese network structure can balance the accuracy and speed, and gradually became the mainstream method of target tracking. This paper introduces the basic concepts of target tracking technology, analyzes the development and shortcomings of traditional methods such as correlation filtering. Then structure of the siamese network and design principles and latest development of tracking algorithm based on siamese network structure are emphasized, and the performance of the related methods is compared. Aiming at the shortcomings of existing tracking methods based on siamese network structure, the future development trend is prospected.

Key words: target tracking, siamese network, deep learning



关键词: 目标跟踪, 孪生网络, 深度学习