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正面视角的步态识别
引用本文:高海燕,阮秋琦.正面视角的步态识别[J].智能系统学报,2011,6(2):119-125.
作者姓名:高海燕  阮秋琦
作者单位:北京交通大学信息科学研究所,北京,100044
基金项目:国家"973"计划资助项目,国家自然科学基金资助项目
摘    要:现有的步态识别算法研究几乎全都是基于侧面步态的.提出一种基于正面视角的步态识别方法.首先归一化RGB颜色空间被用来检测和去除阴影,并用背景减除法提取二值化人体轮廓.提出一种专门适用于正面步态的周期检测方法,提取周期关键帧后跟踪轮廓线,并用改进的等角度采样法进行采样以减少计算量.简单高效的傅里叶描述子被用来提取特征向量,进行数据降维后构造步态模板.用最近邻和最近邻标本分类器分别进行分类.在CASIA数据库上的实验表明,该算法不仅具有较低的计算量而且表现出较好的识别性能.

关 键 词:步态识别  正面视角  去除阴影  傅里叶描述子  步态模板

A gait recognition method based on front-view
GAO Haiyan,RUAN Qiuqi.A gait recognition method based on front-view[J].CAAL Transactions on Intelligent Systems,2011,6(2):119-125.
Authors:GAO Haiyan  RUAN Qiuqi
Affiliation:GAO Haiyan,RUAN Qiuqi(Institute of Information Science,Beijing Jiaotong University,Beijing 100044,China)
Abstract:Existing gait recognition methods are usually based on side view sequences;however,in this paper a new method for front-view gait recognition was proposed.First,a method of normalized RGB color space was used for detection and shadow removal and the binary silhouettes were extracted by background subtraction.Then,a special method for cyclic gait analysis based on a front view was performed to extract cyclic key frames.Next,body contours were tracked,and an improved equal-angle sampling method was applied to...
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