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Mask-Guided Clothes-Irrelevant and Background-Irrelevant Network with Knowledge Propagation for Cloth-Changing Person Re-identification

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Pattern Recognition and Computer Vision (PRCV 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15042))

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Abstract

In recent years, the increasing demand for long-term pedestrian retrieval has brought the cloth-changing person re-identification (CC-ReID) challenge into the spotlight. In scenarios spanning long periods, there are two main challenges: (1) clothing and background interference; (2) extraction of identity-sensitive information. To address these issues, we introduce a robust framework titled Mask-guided clothes-irrelevant and background-irrelevant Network (Magic-Net). Magic-Net employs knowledge distillation across two distinct streams: the outline stream and the exposed stream. The outline stream captures the pedestrians’ contour, minimizing the impact of clothing and background, while the exposed stream enriches identity-sensitive information from the pedestrian’s exposed areas. This dual-stream integration focuses the model on critical re-identification regions. Evaluations on several benchmark datasets demonstrate Magic-Net’s exceptional performance in tackling the CC-ReID challenge.

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Acknowledgement

This work is supported by Xiamen Natural Science Foundation(Grant No.3502Z202372034), the research startup foundation of Huaqiao university(Grant No.20201XD022, Grant No.HQJGYB2406) and Quanzhou Science and Technology Projects(Grant No.2023N013).

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Authors and Affiliations

  1. College of Engineering, Huaqiao University, Quanzhou, China

    Gaofeng Zhu, Gan Liu, Longtao Chen, Guoxing Liao & Huanqiang Zeng

  2. Quanzhou Digital Institute, Huaqiao University, Quanzhou, China

    Guoxing Liao & Huanqiang Zeng

Authors
  1. Gaofeng Zhu
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  2. Gan Liu
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  3. Longtao Chen
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  4. Guoxing Liao
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  5. Huanqiang Zeng
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Corresponding author

Correspondence to Longtao Chen .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Zhouchen Lin

  2. Nankai University, Tianjin, China

    Ming-Ming Cheng

  3. Chinese Academy of Sciences, Beijing, China

    Ran He

  4. Xinjiang University, Ürümqi, Xinjiang, China

    Kurban Ubul

  5. Xinjiang University, Ürümqi, China

    Wushouer Silamu

  6. Peking University, Beijing, China

    Hongbin Zha

  7. Tsinghua University, Beijing, China

    Jie Zhou

  8. Chinese Academy of Sciences, Beijing, China

    Cheng-Lin Liu

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Zhu, G., Liu, G., Chen, L., Liao, G., Zeng, H. (2025). Mask-Guided Clothes-Irrelevant and Background-Irrelevant Network with Knowledge Propagation for Cloth-Changing Person Re-identification. In: Lin, Z., et al. Pattern Recognition and Computer Vision. PRCV 2024. Lecture Notes in Computer Science, vol 15042. Springer, Singapore. https://doi.org/10.1007/978-981-97-8858-3_16

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  • DOI: https://doi.org/10.1007/978-981-97-8858-3_16

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  • Online ISBN: 978-981-97-8858-3

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