计算机与现代化Issue(8)：24-27,4.DOI:10.3969/j.issn.1006-2475.2012.08.007
基于特征融合的步态识别算法研究
Research on Gait Recognition Algorithm Based on Feature Fusion
杨新锋 1刘克成1
作者信息
- 1. 南阳理工学院计算机与信息工程学院,河南南阳473004
- 折叠
摘要
Abstract
According to the characteristics of human gait changes, this paper proposes a gait recognition algorithm based on fea-ture fusion and neural network. Firstly, time domain finite difference method is used to extract body silhouette, and then to ex-tract spatial features and frequency characteristics, and two kinds of feature are fused, so as to realize the classification and recog-nition of gait. The algorithm is tested by CASIA gait database, the simulation results show that, the proposed method not only c-vercomes the defects of single feature extraction method, but also improves gait recognition correct rate.关键词
生物特征/步态识别/特征融合Key words
biometrics/ gait recognition/ feature fusion分类
信息技术与安全科学引用本文复制引用
杨新锋,刘克成..基于特征融合的步态识别算法研究[J].计算机与现代化,2012,(8):24-27,4.
