%0 Journal Article
%T Gait Recognition by Fitting Moment Invariants<br>不变矩系数拟合的步态识别
%A YUAN Hai-jun
%A WEN Yu-mei
%A LI Ping
%A YE Bo
%A <br>袁海军
%A 文玉梅
%A 李平
%A 叶波
%J 计算机应用
%D 2007
%I 
%X According to the idea of combining static components and dynamic components from the walking way, as the moment invariants may represent geometrical traits in images, they were extracted as gait features from a subsequent gait series. The moment invariants of human silhouettes were represented by the Fourier series. A genetic algorithm was deployed to obtain the Fourier coefficients. The magnitudes of the coefficients were classified through the kNN classifier. The recognition restdts with the proposed scheme in the CMU gait database have recognition rates of more than 90% and show that it has achieved a high performance and effectively made use of two kinds of contents.
%K feature extraction
%K gait-based recognition
%K moment invariants
%K genetic algorithm (GA)
%K kNN classifier<br>特征提取
%K 步态识别
%K 不变矩
%K 遗传算法
%K kNN分类器
%K 不变矩
%K 系数
%K 拟合
%K 步态识别
%K Moment
%K Invariants
%K Fitting
%K Recognition
%K 识别性能
%K 方法
%K 结果
%K 识别率
%K 实验
%K 步态数据库
%K 信息分类
%K 近邻分类器
%K 搜索
%K 遗传算法
%K 利用
%K 变化
%K 轮廓
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=4A84A60106EF051A6CA31838D5561247&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=55434AEC30CBAE6B&eid=9C6D270E246D943F&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10