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基于频谱分析的Procrustes统计步态识别算法
引用本文:杨静,阮秋琦,李小利. 基于频谱分析的Procrustes统计步态识别算法[J]. 智能系统学报, 2011, 0(5): 432-439
作者姓名:杨静  阮秋琦  李小利
作者单位:北京交通大学信息科学研究所;北京交通大学现代信息科学与网络技术北京市重点实验室;
基金项目:国家自然科学基金资助项目(60973060)
摘    要:在信息安全越加重要的现代社会,步态识别以其特有的优势作为一种身份识别手段,得到了很多关注.提出一种基于Procrustes均值形状的傅里叶频谱分析(FSAOPMS)的适用于多视角的步态识别方法.利用Procrustes统计形状分析方法将步态序列中人体轮廓的连续步态变化表示成一个紧致的Procrustes均值形状(PMS...

关 键 词:步态识别  Procrustes统计形状分析  Procrustes均值形状(PMS)  傅里叶频谱分析(FSA)  多视角识别

A Procrustes statistical gait recognition algorithm based on spectrum analysis
YANG Jing,,RUAN Qiuqi,LI Xiaoli. A Procrustes statistical gait recognition algorithm based on spectrum analysis[J]. CAAL Transactions on Intelligent Systems, 2011, 0(5): 432-439
Authors:YANG Jing    RUAN Qiuqi  LI Xiaoli
Affiliation:YANG Jing1,2,RUAN Qiuqi1,LI Xiaoli1,2(1.Institute of Information Science,Beijing Jiaotong University,Beijing 100044,China,2.Beijing Key Laboratory of Advanced Information Science and Network Technology,China)
Abstract:As a special means of identification,gait recognition has acquired a lot of attention in a modern society in which information security has become increasingly important.A multi-view gait recognition algorithm based on the Fourier spectrum analysis of Procrustes mean shape(FSAOPMS) was proposed in this paper.Procrustes shape analysis was used to produce a compact Procrustes mean shape(PMS) from the continuous gesture variation of human body contours in gait sequences.The spectrum of the PMS was analyzed usi...
Keywords:gait recognition  Procrustes statistical shape analysis  Procrustes mean shape(PMS)  Fourier spectrum analysis(FSA)  multi-view recognition  
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