Uncooperative gait recognition: Re-ranking based on sparse coding and multi-view hypergraph learning

Gait is an important biometric which can operate from a distance without subject cooperation. However, it is easily affected by changes in covariate conditions (carrying, clothing, view angle, walking speed, random noise etc.). It is hard for training set to cover all conditions. Bipartite ranking m...

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Bibliographic Details
Published in:	Pattern recognition Vol. 53; pp. 116 - 129
Main Authors:	Chen, Xin, Xu, Jiaming
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.05.2016
Subjects:	Biometrics Coding Cooperation Gait recognition Hypergraph learning Learning Pattern recognition Ranking Re-ranking Recognition Sparse Coding Uncooperative gait recognition Uncooperative gait recognition Sparse Coding Hypergraph learning Re-ranking
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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