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Using Attribute Relationships for Person Re-Identification

  • Ngoc-Bao Nguyen
  • Vu-Hoang Nguyen
  • Thanh Ngo Duc
  • Duy-Dinh
  • Duc Anh Duong
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 326)

Abstract

Person re-identification is the problem of matching pedestrian images observed by different cameras in non-overlapping regions. Semantic features, also called attributes, have demonstrated to produce state-of-the-art performances in this problem. In existing works, attributes are detected independently to each other. In this paper, we propose using relationships between attributes to refine the attribute detection result. Experimental results on two datasets VIPeR and PRID prove the effectiveness on performances when our method is applied.

Keywords

Person Re-Identification Attribute Relationship Re-Score 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ngoc-Bao Nguyen
    • 1
  • Vu-Hoang Nguyen
    • 1
  • Thanh Ngo Duc
    • 1
  • Duy-Dinh
    • 1
  • Duc Anh Duong
    • 1
  1. 1.Multimedia Communications Laboratory, University of Information TechnologyVNU-HCMHo Chi Minh CityVietnam

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