Person Re-Identification by Iterative Re-Weighted Sparse Ranking

@article{Lisanti2015PersonRB,
  title={Person Re-Identification by Iterative Re-Weighted Sparse Ranking},
  author={Giuseppe Lisanti and Iacopo Masi and Andrew D. Bagdanov and Alberto del Bimbo},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2015},
  volume={37},
  pages={1629-1642}
}
In this paper we introduce a method for person re-identification based on discriminative, sparse basis expansions of targets in terms of a labeled gallery of known individuals. We propose an iterative extension to sparse discriminative classifiers capable of ranking many candidate targets. The approach makes use of soft- and hard- re-weighting to redistribute energy among the most relevant contributing elements and to ensure that the best candidates are ranked at each iteration. Our approach… CONTINUE READING
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