Gait Recognition Based on Gait Energy Image and Linear Discriminant Analysis

被引：0

作者：

Xue Hongye ^{[1
]}

Hao Zhuoya ^{[1
]}

机构：

[1] Xian Univ Sci & Technol, Xian, Peoples R China

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC) | 2015年

关键词：

Gait recognition; feature extraction; GEI; Linear Discriminant Analysis; PCA;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Aiming at the low rate of human gait recognition and other issues, a novel gait recognition based on gait energy image and linear discriminant analysis is proposed in this paper. Firstly, using background subtraction to segment contours of human body, then a gait cycle is computed with the change of body silhouette width; Secondly, using the images in gait cycle sequences to calculate the gait energy image (GEI); Finally, principal component analysis (PCA) and linear discriminant analysis (LDA) are used to extract the main vector of gait feature, the nearest neighbor classifier is selected for classification and identification. The experimental results indicate that our method can improve the recognition rate effectively on CASIA gait database.

引用

页码：857 / 860

页数：4

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