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Person Re-identification Using Group Constraint

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Intelligence Science and Big Data Engineering. Visual Data Engineering (IScIDE 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11935))

Abstract

The group refers to several pedestrians gathering together with a high motion collectiveness for a sustained period of time. The existing person re-identification (re-id) approaches focus on extracting individual appearance cues, but ignores the correlations of different persons in a group. In this paper, we propose a group-guided re-id method named group retrieval correlation (GRC) to address the above problem, which pays more attention to the correlations of surrounding pedestrians in the same group and reliefs the interference caused by the dependence of appearance cues. Compared with traditional re-id methods which compute naive similarity merely by the appearance characteristics, the GRC based re-id method proposes a novel and optimal person similarity by considering the relationships among groups. Therefore, the proposed approach provides sufficient hints of group relationships, which are supplementary to the appearance features and contributes to constructing a more reliable re-id system. Experimental results demonstrate that the group information promotes person re-id by a large margin on the proposed Group-reID dataset in terms of both hand-crafted descriptors and deep features.

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Acknowledgements

This work was supported by NSFC (61573387, 61876104).

Author information

Authors and Affiliations

  1. School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China

    Ling Mei

  2. School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China

    Jianhuang Lai, Zhanxiang Feng, Zeyu Chen & Xiaohua Xie

  3. Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, Guangzhou, China

    Jianhuang Lai, Zhanxiang Feng & Xiaohua Xie

Authors
  1. Ling Mei
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  2. Jianhuang Lai
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  3. Zhanxiang Feng
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  4. Zeyu Chen
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  5. Xiaohua Xie
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Corresponding author

Correspondence to Jianhuang Lai .

Editor information

Editors and Affiliations

  1. Nanjing University of Science and Technology, Nanjing, China

    Zhen Cui

  2. Nanjing University of Science and Technology, Nanjing, China

    Jinshan Pan

  3. Nanjing University of Science and Technology, Nanjing, China

    Shanshan Zhang

  4. Nanjing University of Science and Technology, Nanjing, China

    Liang Xiao

  5. Nanjing University of Science and Technology, Nanjing, China

    Jian Yang

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Mei, L., Lai, J., Feng, Z., Chen, Z., Xie, X. (2019). Person Re-identification Using Group Constraint. In: Cui, Z., Pan, J., Zhang, S., Xiao, L., Yang, J. (eds) Intelligence Science and Big Data Engineering. Visual Data Engineering. IScIDE 2019. Lecture Notes in Computer Science(), vol 11935. Springer, Cham. https://doi.org/10.1007/978-3-030-36189-1_38

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  • DOI: https://doi.org/10.1007/978-3-030-36189-1_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36188-4

  • Online ISBN: 978-3-030-36189-1

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