计算机工程2017，Vol.43Issue(12)：231-236,6.DOI:10.3969/j.issn.1000-3428.2017.12.042
基于类Haar特征模板匹配的多镜头步态识别算法
Multiple Lens Gait Recognition Algorithm Based on Category Haar Feature Template Matching
摘要
Abstract
Aiming at the problem of low accuracy for the gait recognition in video surveillance,the bilateral Fourier calibration point estimation category Haar feature template matching based multiple lens gait recognition algorithm is proposed.According to the characteristics of video monitoring,the point estimation algorithm is used for image reconstruction and a markerless Haar feature template matching based feature extraction algorithm is designed to realize the automatic recognition and extraction of gait feature.According to the angles difference of feature extraction in motion,the bilateral Fourier is used for observation angle correction,and the adaptive sequential forward selection is designed for high dimensional feature extraction.Simulation results in the Southampton test database show that the correct classification rate of the proposed algorithm can reach about 96.3％,and through the observation angle correction,the gait motion angle can reach basically the same in different gait cycles.关键词
点估计/Haar特征/模板匹配/步态识别/双边傅里叶级数Key words
point estimation/Haar feature/template matching/gait recognition/bilateral Fourier series分类
信息技术与安全科学引用本文复制引用
刘冠群,罗桂琼,谭平..基于类Haar特征模板匹配的多镜头步态识别算法[J].计算机工程,2017,43(12):231-236,6.基金项目
湖南省教育科学“十二五”规划课题(XJK014BXX005). （XJK014BXX005）
