2015
DOI: 10.1587/transinf.2014edp7427
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Multiple-Shot People Re-Identification by Patch-Wise Learning

Abstract: SUMMARY In this paper, we propose a patch-wise learning based approach to deal with the multiple-shot people re-identification task. In the proposed approach, re-identification is formulated as a patch-wise set-toset matching problem, with each patch set being matched using a specifically learned Mahalanobis distance metric. The proposed approach has two advantages: (1) a patch-wise representation that moderates the ambiguousness of a non-rigid matching problem (of human body) to an approximate rigid one (of b… Show more

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Cited by 1 publication
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References 34 publications
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