Journal of Guangxi Normal University(Natural Science Edition) ›› 2022, Vol. 40 ›› Issue (5): 90-103.doi: 10.16088/j.issn.1001-6600.2022022501

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Research Progress of Target Tracking Algorithm Based on Siamese Network

LIANG Qihua1, HU Xiantao1, ZHONG Bineng1*, YU Feng1,2, LI Xianxian1   

  1. 1. Guangxi Key Laboratory of Multi-Source Information Mining and Security (Guangxi Normal University), Guilin Guangxi 541004, China;
    2. Key Laboratory of Computer Network and Information Integration, Southeast University, Nanjing Jiangsu 211189, China
  • Received:2022-02-25 Revised:2022-05-06 Online:2022-09-25 Published:2022-10-18

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Abstract: Target tracking is one of the core basic research issues in the field of computer vision. Its performance can cooperate with the analysis and research of high-level video applications, which has important theoretical value, extensive practical value and interdisciplinary. Therefore, it has become the focus of academia, industry and national strategy. Due to the high complexity and strong interference of the tracking scene, the diversity of target apparent changes and multi-modal information fusion, the tracker needs to balance the performance measurement indicators such as robustness, accuracy and real-time. At present, a lot of work has been done to solve the challenges in the field of target tracking from different perspectives, but under the measurement of multi-dimensional performance indicators, it still can not solve the tracking problem in complex scenes. Through the research of target tracking algorithm based on Siamese network, this paper reviews the current development status of the field, discusses the existing challenges and looks forward to the research direction worthy of attention in the future, so as to provide a reference for the future research work in this field.

Key words: computer vision, target tracking, video application and analysis, multimodal, siamese network

CLC Number: 

  • TP391.41
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