Improving Person Re-Identification by Efficient Pairwise-Specific CRC Coding in the XQDA Subspace

Ying TIAN  Mingyong ZENG  Aihong LU  Bin GAO  Zhangkai LUO  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E101-D   No.4   pp.1209-1212
Publication Date: 2018/04/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2017EDL8216
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
Keyword: 
person re-identification,  collaborative representation based classification (CRC),  XQDA,  

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Summary: 
A novel and efficient coding method is proposed to improve person re-identification in the XQDA subspace. Traditional CRC (Collaborative Representation based Classification) conducts independent dictionary coding for each image and can not guarantee improved results over conventional euclidian distance. In this letter, however, a specific model is separately constructed for each probe image and each gallery image, i.e. in probe-galley pairwise manner. The proposed pairwise-specific CRC method can excavate extra discriminative information by enforcing a similarity item to pull similar sample-pairs closer. The approach has been evaluated against current methods on two benchmark datasets, achieving considerable improvement and outstanding performance.