Stepwise Metric Promotion for Unsupervised Video Person Re-identification

@article{Liu2017StepwiseMP,
  title={Stepwise Metric Promotion for Unsupervised Video Person Re-identification},
  author={Zimo Liu and Dong Wang and Huchuan Lu},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={2448-2457}
}
The intensive annotation cost and the rich but unlabeled data contained in videos motivate us to propose an unsupervised video-based person re-identification (re-ID) method. We start from two assumptions: 1) different video tracklets typically contain different persons, given that the tracklets are taken at distinct places or with long intervals; 2) within each tracklet, the frames are mostly of the same person. Based on these assumptions, this paper propose a stepwise metric promotion approach… CONTINUE READING
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Label graph matching for unsupervised video re-identification

  • M. Ye, J. Ma, J. Li, L. Zheng, P. Yuen
  • In ICCV,
  • 2017
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