计算机应用与软件2011，Vol.28Issue(9)：232-234,3.
基于分块双向二维主成分分析的步态识别
GAIT RECOGNITION USING MODULAR (2D) 2PCA
卢威 1陈后金1
作者信息
- 1. 北京交通大学电子信息工程学院 北京100044
- 折叠
摘要
Abstract
A method for gait feature analysis based on gait energy image and Modular-(2D)2PCA is proposed in the paper. The image sequence is pre-processed first to extract the motion profile, the motion cycle is detected by analysing regional distributed histogram, and the gait energy image is formed to describe the temporal and spatial features of the gait. Afterwards, the modular-(2D)2PCA is employed to extract gait feature for classification. Finally, the proposed approach is tested with USF gait database, and is compared with other algorithms. Experimental results demonstrate that the proposed algorithm performs an encouraging recognition rate and less computation complexity.关键词
步态识别/步态能量图/二维主成分分析/分块双向二维主成分分析/特征提取Key words
Gait recognition Gait energy image 2D Principal component analysis (PCA) Modular-(2D)2PCA Feature extraction分类
信息技术与安全科学引用本文复制引用
卢威,陈后金..基于分块双向二维主成分分析的步态识别[J].计算机应用与软件,2011,28(9):232-234,3.
