一种基于静态和动态特征的步态识别新方法

计算机科学 ›› 2012, Vol. 39 ›› Issue (4): 261-264.

一种基于静态和动态特征的步态识别新方法

刘志勇,冯国灿,邹小林

(中山大学数学与计算科学学院广州510275);(广东省计算科学重点实验室广州510275);(深圳职业技术学院工业中心深圳518055);(肇庆学院数学与信息科学学院肇庆526061)

出版日期:2018-11-16 发布日期:2018-11-16

New Gait Recognition Method Based on Static and Dynamic Features

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 最近，利用步态对个人身份进行识别受到越来越多生物识别技术研究者的重视。步态能量图(Gait Encrgy Image, GEI)是一种有效的步态表征方法。把步态能量图分解为身体相关能量图(Body-Related GEI,BGEI)、步态相关能量图(Gait Rclatcd GEI, GGEI)、身体步态相关能量图(Body-Gait Rclatcd GEI, BGGEI) 3部分，利用傅立叶描绘子对身体相关能量图(BGETL)、身体步态相关能量图(BGGEI)进行描述,利用Gabor小波提取步态相关能量图(BGGEI)的幅值特征，分别研究了它们的识别能力，并在Rank层和Score层融合步态相关能量图(GGEI)、身体步态相关能量图(BGGEI)这两部分信息用于步态识别。该算法在CASIA数据库上进行的试验取得了较高的正确识别率。

关键词: 步态能量图，静态特征，动态特征，融合，步态识别

Abstract: Recently, gait recognition for individual identification has received much increased attention from biometrics researchers. Gait Energy Image(GEI) is an efficient represent method. We divided GEI into three parts-Body related GEI(13GEI),Gait related GEI(GGEI),Body Gait related GEI(BGGEI). `hhe fouricr descriptor was used to describe the BGEI and BGGEI. The Gabor wavelet was used to the GGEI to get the magnitude feature, research their recognition ability respectively,fusion the two parts of Gait Related GEI and Body-Gait Related GEI in rank level and score level to gait recognition. The algorithm was tested in the CASIA datasets and gained high correct recognition rates.

Key words: Gait energy image, Static feature, Dynamic feature, Fusion, Gait recognition

刘志勇,冯国灿,邹小林. 一种基于静态和动态特征的步态识别新方法[J]. 计算机科学, 2012, 39(4): 261-264. https://doi.org/

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