步态能量图的局部纹理特征分析方法  

Local features of gait energy image through the method of texture analysis

作　　者：张元元[1] 李静[2] 姜树明[1] 杨子江[1] 张江州[1] 

机构地区：[1]山东省科学院情报研究所,济南250014 [2]山东省工会管理干部学院信息工程学院,济南250100

出　　处：《吉林大学学报（工学版）》2013年第S1期193-198,共6页Journal of Jilin University:Engineering and Technology Edition

基　　金：山东省科技发展计划项目(2012GSF12004)

摘　　要：基于步态能量图表示方法,采用纹理特征分析方法对其亮度值的局部空间分布特性进行分析,得到局部变化幅度、局部标准差、局部熵三种纹理特征。采用经典的欧氏距离和最近邻分类器完成分类识别。CASIA步态数据库上的实验结果验证了算法的有效性。Based on the representation of gait energy image(GEI),the method of texture analysis was used to describe the local space distribution of pixel brightness.Three different local textural features which are the range of local brightness(ROLB),the standard deviation of local brightness(SDOLB),and the entropy of local brightness(EOLB) were obtained.The classic Euclidean distance and nearest neighbor classifier were adopted to discriminate different patterns.The experiments on CASIA gait database demonstrate the effectiveness of the proposed method.

关 键 词：步态识别 步态能量图 灰度图像 亮度分布 局部纹理特征 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]