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Person re-identification is the problem of recognizing people across images or videos from non-overlapping views. Although there has been much progress in person re-identification for the last decade, it still remains a challenging task because of severe appearance changes of a person due to diverse camera viewpoints and person poses. In this paper, we propose a novel framework for person reidentification by analyzing camera viewpoints and person poses, so-called Pose-aware Multi-shot Matchingdoi:10.1109/cvpr.2016.151 dblp:conf/cvpr/ChoY16 fatcat:spapzfambrfgliwn5mosvxx5ie