Gait Recognition With Shifted Energy Image and Structural Feature Extraction

被引:53
作者
Huang, Xiaxi [1 ]
Boulgouris, Nikolaos V. [2 ]
机构
[1] Kings Coll London, London WC2R 2LS, England
[2] Brunel Univ, Dept Elect & Comp Engn, Uxbridge UB8 3PH, Middx, England
关键词
Biometrics; gait recognition; surveillance; CHALLENGE PROBLEM; VIEW ANGLE; DATA SETS; IDENTIFICATION; FUSION;
D O I
10.1109/TIP.2011.2180914
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we present a novel and efficient gait recognition system. The proposed system uses two novel gait representations, i.e., the shifted energy image and the gait structural profile, which have increased robustness to some classes of structural variations. Furthermore, we introduce a novel method for the simulation of walking conditions and the generation of artificial subjects that are used for the application of linear discriminant analysis. In the decision stage, the two representations are fused. Thorough experimental evaluation, conducted using one traditional and two new databases, demonstrates the advantages of the proposed system in comparison with current state-of-the-art systems.
引用
收藏
页码:2256 / 2268
页数:13
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