中国计量大学学报2017，Vol.28Issue(3)：359-364,6.DOI:10.3969/j.issn.2096-2835.2017.03.015
小波特征和协同表示的步态识别研究
Research ongait recognition of wavelet and cooperative representation
王鹏峰 1程铭1
作者信息
- 1. 中国计量大学计量测试工程学院 ,浙江杭州310018
- 折叠
摘要
Abstract
A gait recognition algorithm based on Gabor wavelet feature of GEI and collaborative representation was proposed .The detected moving target was processed with binarization and morphological precessing to get the gait contour map and calculate the gait energy image .The algorithm represented the gait recognition by using the collaborative method with Gabor gait energy image as the feature vector .In the experimental stage , tested by the Chinese Academy of Sciences Institute of Automation CASIA Dataset B gait database ,it shows that the algorithm has the advantages of fast operation speed ,and is robust to cross view gait recognition .关键词
Gabor小波/步态能量图/协同表示Key words
gabor wavelets/GEI/cooperative representation分类
信息技术与安全科学引用本文复制引用
王鹏峰,程铭..小波特征和协同表示的步态识别研究[J].中国计量大学学报,2017,28(3):359-364,6.
