一种基于步态特征的身份识别方法  

Gait-based Method for Human Identification

作　　者：肖卫初[1] 陈伟宏[2] 

机构地区：[1]湖南城市学院物理与电信工程系,益阳413000 [2]湖南城市学院计算机科学系,益阳413000

出　　处：《科学技术与工程》2008年第15期4194-4198,共5页Science Technology and Engineering

基　　金：湖南省教育厅科研基金项目(06C219)资助

摘　　要：提出了一种基于步态特征的身份识别方法。首先用背景减除方法检测行人的轮廓;然后将二维的人体轮廓转换为一维的不变矩信号,把人体的步态序列变换为不变矩矢量;最后规格化不变矩矢量,采用最近邻法进行识别。实验结果表明该方法有好的识别性能。A gait-based method for human identification is described. At first, a background substraction algorithm and a simple correspondence procedure are used to segment and track the moving silhouettes of a walking figure from the background. Then, the body contour represented in 2D signature is transformed into moment invariantsrepresented in 1D signature. The gait sequences can be represented using moment invariants vectors. Finally, the vectors are normalized and the subject classification is performed by nearest neighbor matching to recognize the gait. Experimental results demonstrate that the proposed algorithm has an encouraging recognition performance.

关 键 词：步态识别 不变矩 时空相关 最近邻法 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置]