Locality-Constrained Collaborative Sparse Approximation for Multiple-Shot Person Re-identification

Abstract

Person re-identification is becoming a hot research topic due to its academic importance and attractive applications in visual surveillance. This paper focuses on solving the relatively harder and more importance multiple-shot re-identification problem. Following the idea of treating it as a set-based classification problem, we propose a new model called… (More)
DOI: 10.1109/ACPR.2013.14

Topics

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