Class Energy Image Analysis for Video Sensor-Based Gait Recognition: A Review

被引：37

作者：

Lv, Zhuowen ^{[1
]}

Xing, Xianglei ^{[1
]}

Wang, Kejun ^{[1
]}

Guan, Donghai ^{[2
]}

机构：

[1] Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China

[2] Kyung Hee Univ, Dept Comp Engn, Seoul 130701, South Korea

来源：

SENSORS | 2015年 / 15卷 / 01期

基金：

中国国家自然科学基金;

关键词：

gait recognition; gait representation; Class Energy Image; MOTION; REPRESENTATION; FACE; PERFORMANCE; FRAMEWORK; SELECTION; FEATURES; WALKING; FUSION; ANGLE;

D O I：

10.3390/s150100932

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Gait is a unique perceptible biometric feature at larger distances, and the gait representation approach plays a key role in a video sensor-based gait recognition system. Class Energy Image is one of the most important gait representation methods based on appearance, which has received lots of attentions. In this paper, we reviewed the expressions and meanings of various Class Energy Image approaches, and analyzed the information in the Class Energy Images. Furthermore, the effectiveness and robustness of these approaches were compared on the benchmark gait databases. We outlined the research challenges and provided promising future directions for the field. To the best of our knowledge, this is the first review that focuses on Class Energy Image. It can provide a useful reference in the literature of video sensor-based gait representation approach.

引用

页码：932 / 964

页数：33

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