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International Conference on Multimedia Modeling

MMM 2015: MultiMedia Modeling pp 105–117Cite as

Coupled-View Based Ranking Optimization for Person Re-identification

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 8935)

Abstract

Person re-identification aims to match different persons observed in non-overlapping camera views. Researchers have proposed many person descriptors based on global or local descriptions, while both of them have achieved satisfying matching results, however, their ranking lists usually vary a lot for the same query person. These motivate us to investigate an approach to aggregate them to optimize the original matching results. In this paper, we proposed a coupled-view based ranking optimization method through cross KNN rank aggregation and graph-based re-ranking to revise the original ranking lists. Its core assumption is that the images of the same person should share the similar visual appearance in both global and local views. Extensive experiments on two datasets show the superiority of our proposed method with an average improvement of 20-30% over the state-of-the-art methods at CMC@1.

Keywords

  • Coupled-view
  • Ranking optimization
  • Person re-identification

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  • DOI: 10.1007/978-3-319-14445-0_10
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Author information

Authors and Affiliations

  1. National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, 430072, China

    Mang Ye, Jun Chen, Chao Liang & Zheng Wang

  2. Research Institute of Wuhan University in Shenzhen, China

    Jun Chen & Chao Liang

  3. School of Information Science and Technology, Jiujiang University, China

    Qingming Leng

  4. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China

    Kaimin Sun

Authors
  1. Mang Ye
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  2. Jun Chen
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  3. Qingming Leng
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  4. Chao Liang
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  5. Zheng Wang
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  6. Kaimin Sun
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Editor information

Editors and Affiliations

  1. University of Technology, P.O. Box 123, 2007, Sydney, NSW, Australia

    Xiangjian He, Dacheng Tao & Muhammad Abul Hasan,  & 

  2. University of Newcastle, University Dr, Callaghan, 2308, NSW, Australia

    Suhuai Luo

  3. National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95, Zhongguancun East Road, 100190, Beijing, P.R. China

    Changsheng Xu

  4. Shanghai Jitotong University, 800 Dong Chuan Rd, 200240, Shanghai, China

    Jie Yang

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Ye, M., Chen, J., Leng, Q., Liang, C., Wang, Z., Sun, K. (2015). Coupled-View Based Ranking Optimization for Person Re-identification. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds) MultiMedia Modeling. MMM 2015. Lecture Notes in Computer Science, vol 8935. Springer, Cham. https://doi.org/10.1007/978-3-319-14445-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-14445-0_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14444-3

  • Online ISBN: 978-3-319-14445-0

  • eBook Packages: Computer ScienceComputer Science (R0)