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Multiple-Shot Person Re-Identification by Pairwise Multiple Instance Learning
Chunxiao LIU Guijin WANG Xinggang LIN
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2013/12/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
person re-identification, pairwise, multiple-shot, multiple instance learning,
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Learning an appearance model for person re-identification from multiple images is challenging due to the corrupted images caused by occlusion or false detection. Furthermore, different persons may wear similar clothes, making appearance feature less discriminative. In this paper, we first introduce the concept of multiple instance to handle corrupted images. Then a novel pairwise comparison based multiple instance learning framework is proposed to deal with visual ambiguity, by selecting robust features through pairwise comparison. We demonstrate the effectiveness of our method on two public datasets.