Dynamic Label Graph Matching for Unsupervised Video Re-identification

@article{Ye2017DynamicLG,
  title={Dynamic Label Graph Matching for Unsupervised Video Re-identification},
  author={Mang Ye and Andy Jinhua Ma and Liang Zheng and Jiawei Li and Pong C. Yuen},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={5152-5160}
}
Label estimation is an important component in an unsupervised person re-identification (re-ID) system. This paper focuses on cross-camera label estimation, which can be subsequently used in feature learning to learn robust re-ID models. Specifically, we propose to construct a graph for samples in each camera, and then graph matching scheme is introduced for cross-camera labeling association. While labels directly output from existing graph matching methods may be noisy and inaccurate due to… CONTINUE READING

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