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Cross-Domain Person Re-identification: A Review

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Artificial Intelligence in China

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 653))

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Abstract

Cross-domain person re-identification (Re-ID) is a challenging field which has a huge space to improve. With the progress of deep learning, many representative methods of cross-domain person Re-ID have emerged one after another. In this paper, we comprehensively describe and discuss the existing methods and make a simple classification for them. Meanwhile, we compare the performance of these methods on public datasets.

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Acknowledgment

This work was supported by National Natural Science Foundation of China under Grant No. 61711530240, Natural Science Foundation of Tianjin under Grant No. 20JCZDJC00180 and No. 19JCZDJC31500, the Open Projects Program of National Laboratory of Pattern Recognition under Grant No. 202000002, and the Tianjin Higher Education Creative Team Funds Program.

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Authors and Affiliations

  1. Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China

    Yanan Wang, Shuzhen Yang, Shuang Liu & Zhong Zhang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Yanan Wang, Shuzhen Yang, Shuang Liu & Zhong Zhang

Authors
  1. Yanan Wang
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  2. Shuzhen Yang
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  3. Shuang Liu
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  4. Zhong Zhang
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Corresponding author

Correspondence to Zhong Zhang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. Tianjin Normal University, Tianjin, China

    Wei Wang

  3. Tianjin Normal University, Tianjin, China

    Jiasong Mu

  4. Dalian University of Technology, Dalian, China

    Xin Liu

  5. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  6. Wuhan University, Wuhan, Hubei, China

    Xiantao Cai

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Wang, Y., Yang, S., Liu, S., Zhang, Z. (2021). Cross-Domain Person Re-identification: A Review. In: Liang, Q., Wang, W., Mu, J., Liu, X., Na, Z., Cai, X. (eds) Artificial Intelligence in China. Lecture Notes in Electrical Engineering, vol 653. Springer, Singapore. https://doi.org/10.1007/978-981-15-8599-9_19

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  • DOI: https://doi.org/10.1007/978-981-15-8599-9_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8598-2

  • Online ISBN: 978-981-15-8599-9

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