Stepwise Metric Promotion for Unsupervised Video Person Re-identification

  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)},
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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