文章基本信息

标题：Gait Recognition Using Extracted Feature Vectors
本地全文：下载
作者：C.Sasi varnan ; A. Jagan ; Jaspreet Kaur 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：3(Version 1)
出版社：Ayushmaan Technologies
摘要：The main objective of my paper is to propose a new spatio temporal gait representation scheme to characterize human walking properties for individual recognition by gait in a single camera-based setup. In the proposed method, width vector of outer contour of binary silhouette and ART (Angular Radial Transform) coefficients are taken as the feature vector. PCA is applied to remove correlation between the features and also to reduce its dimensionality of the features. These extracted feature vectors are used to recognizing the individuals. Hidden Markov Model (HMM) is used to recognize the individual. Some intermediate experimental results shows the effectiveness of proposed system.
关键词：Gait Recognition; ART; PCA; HMM.