Person Re-Identification by Semantic Region Representation and Topology Constraint

@article{Lei2019PersonRB,
  title={Person Re-Identification by Semantic Region Representation and Topology Constraint},
  author={Jianjun Lei and Lijie Niu and H. Fu and Bo Peng and Qingming Huang and Chunping Hou},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2019},
  volume={29},
  pages={2453-2466}
}
Person re-identification is a popular research topic which aims at matching the specific person in a multi-camera network automatically. Feature representation and metric learning are two important issues for person re-identification. In this paper, we propose a novel person re-identification method, which consists of a reliable representation called semantic region representation (SRR), and an effective metric learning with mapping space topology constraint (MSTC). The SRR integrates semantic… 

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