Corpus ID: 59336318

Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification

@article{Wang2019DiscoveringUP,
  title={Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification},
  author={Guangcong Wang and Jian-Huang Lai and Zhenyu Xie and Xiaohua Xie},
  journal={ArXiv},
  year={2019},
  volume={abs/1901.10100}
}
  • Guangcong Wang, Jian-Huang Lai, +1 author Xiaohua Xie
  • Published 2019
  • Computer Science
  • ArXiv
  • Modeling the underlying person structure for person re-identification (re-ID) is difficult due to diverse deformable poses, changeable camera views and imperfect person detectors. [...] Key Method It is the first time that the relative local constraint is proposed to guide the global feature representation learning. Specially, a relative local distance matrix is computed by using feature maps and then regarded as a regularizer to guide CNNs to learn a structure-aware feature representation.Expand Abstract
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