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Combined salience based person re-identification

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Abstract

Human eye perceives an object as the entity with global information and local information. Human salience is distinctive local information in matching pedestrians across disjoint camera views, and matching on overall foreground guarantees reliable and robust identification. In this paper, we propose a strategy for the matching of mean salience to identify pedestrians. Also, we consider that person re-identification based on the local single directional matching suffers from the variations of pose, illumination and overlapping, and propose a global bi-directional matching to solve the challenging problems of person re-identification. Furthermore, our matching of mean salience is tightly combined with the global bi-directional matching. Patch matching is utilized to handle the misalignment problem in pedestrian images. We test our feature and matching approaches in person re-identification scenario. Experimental results demonstrate that the mean salience and the global bi-directional matching have promising discriminative capability in comparison with other ones.

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Acknowledgments

This research is founded by the grant of The Technology Breakthroughs in Wuhan City No. 2014010202010110.

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Authors and Affiliations

  1. Intelligent and Distributed Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Gwangmin Choe, Caihong Yuan, Tianjiang Wang & Qi Feng

  2. School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Korea

    Gyongil Hyon, Chunhwa Choe, Jonghwan Ri & Gumhyok Ji

  3. School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China

    Caihong Yuan

Authors
  1. Gwangmin Choe
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  2. Caihong Yuan
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  3. Tianjiang Wang
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  4. Qi Feng
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  5. Gyongil Hyon
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  6. Chunhwa Choe
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  7. Jonghwan Ri
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  8. Gumhyok Ji
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Corresponding authors

Correspondence to Gwangmin Choe or Tianjiang Wang.

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Cite this article

Choe, G., Yuan, C., Wang, T. et al. Combined salience based person re-identification. Multimed Tools Appl 75, 11447–11468 (2016). https://doi.org/10.1007/s11042-015-2862-4

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  • DOI: https://doi.org/10.1007/s11042-015-2862-4

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