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Person Re-identification via Learning Visual Similarity on Corresponding Patch Pairs

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Knowledge Science, Engineering and Management (KSEM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9403))

Abstract

Since humans concentrate more on differences between relatively small but salient body regions in matching person across disjoint camera views, we propose these differences to be the most significant character in person re-identification (Re-ID). Unlike existing methods focusing on learning discriminative features to adapt viewpoint variation using global visual similarity, we propose a learning visual similarity algorithm via corresponding patch pairs (CPPs) for person Re-ID. The novel CPPs method is introduced to represent the corresponding body patches of the same person in different images with good robustness to body pose, viewpoint and illumination variations. The similarity between two people is measured by an improved bi-directional weight mechanism with a TF-IDF like patches weight. At last, a complementary similarity measure and a mutually-exclusive regulation are presented to enhance the performance of Re-ID. With quantitative evaluation on public datasets, the best rank-1 matching rate on the VIPeR dataset is improved by 4.14%.

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Authors and Affiliations

  1. State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, 100191, Beijing, People’s Republic of China

    Hao Sheng, Yan Huang, Yanwei Zheng, Jiahui Chen & Zhang Xiong

Authors
  1. Hao Sheng
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  2. Yan Huang
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  3. Yanwei Zheng
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  4. Jiahui Chen
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  5. Zhang Xiong
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Corresponding author

Correspondence to Yan Huang .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Songmao Zhang

  2. Ludwig-Maximilians-Universität München, Munich, Germany

    Martin Wirsing

  3. Southwest University, Chongqing, China

    Zili Zhang

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© 2015 Springer International Publishing Switzerland

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Sheng, H., Huang, Y., Zheng, Y., Chen, J., Xiong, Z. (2015). Person Re-identification via Learning Visual Similarity on Corresponding Patch Pairs. In: Zhang, S., Wirsing, M., Zhang, Z. (eds) Knowledge Science, Engineering and Management. KSEM 2015. Lecture Notes in Computer Science(), vol 9403. Springer, Cham. https://doi.org/10.1007/978-3-319-25159-2_73

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  • DOI: https://doi.org/10.1007/978-3-319-25159-2_73

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25158-5

  • Online ISBN: 978-3-319-25159-2

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