Human motion recognition based on neural network - 文章详情页

作者：

Yu, Hui (Yu, Hui.) | Sun, Guang-Min (Sun, Guang-Min.) (学者：孙光民) | Song, Wen-Xing (Song, Wen-Xing.) | Li, Xiao (Li, Xiao.)

收录：

EI Scopus

摘要：

This　paper　proposes　a　method　that　can　perform　human　motion　pattern　recognition　using　Principal　Component　Analysis　(PCA)　and　neural　network.　Moving　target　is　detected　from　a　set　of　video　image　sequences,　and　the　silhouette　is　extracted.　The　two-dimensional　signal　of　contour　is　converted　into　one-dimensional　signal　through　measuring　the　distance　of　pixels　between　centroid　and　boundaries　of　the　silhouette.　Feature　of　human　motion　is　extracted　by　PCA,　and　then　a　neural　network　is　employed　to　classify　the　motion　pattern　into　three　categories:　walking,　running,　and　other　motions.　Experimental　results　have　shown　that　this　method　is　capable　of　recognizing　the　motion　pattern　mentioned　above　effectively.　©　2005　IEEE.

关键词：

Feature extraction Image analysis Neural networks Pattern recognition Principal component analysis Video signal processing

作者机构：

[ 1 ] [Yu, Hui]Electronic Engineering Department, Beijing University of Technology, Beijing, China
[ 2 ] [Sun, Guang-Min]Electronic Engineering Department, Beijing University of Technology, Beijing, China
[ 3 ] [Song, Wen-Xing]Electronic Engineering Department, Beijing University of Technology, Beijing, China
[ 4 ] [Li, Xiao]Electronic Engineering Department, Beijing University of Technology, Beijing, China

通讯作者信息：

电子邮件地址：

kinghumpty@emails.bjut.edu.cn

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