Person Re-Identification by Spatial Pyramid Color Representation and Local Region Matching

Chunxiao LIU  Guijin WANG  Xinggang LIN  Liang LI  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E95-D   No.8   pp.2154-2157
Publication Date: 2012/08/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E95.D.2154
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
Keyword: 
person re-identification,  spatial pyramid,  color histogram,  covariance descriptor,  

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Summary: 
Person re-identification is challenging due to illumination changes and viewpoint variations in the multi-camera environment. In this paper, we propose a novel spatial pyramid color representation (SPCR) and a local region matching scheme, to explore person appearance for re-identification. SPCR effectively integrates color layout into histogram, forming an informative global feature. Local region matching utilizes region statistics, which is described by covariance feature, to find appearance correspondence locally. Our approach shows robustness to illumination changes and slight viewpoint variations. Experiments on a public dataset demonstrate the performance superiority of our proposal over state-of-the-art methods.