Gait Recognition Based on the Bodys Natural Features

摘要：

Gait recognition is a new topic in the biometric technology. Human authenticates or identifies individuals by the way they walk. This paper adopts bodys natural signatures to recognize individuals. Height, as a static characteristic, and silhouette width, as a dynamic characteristic, contain useful information for identification. Together with them, the gait features are represented. The nearest neighbor classifier is adopted to identify subjects.The proposed algorithm is evaluated on CASIA dataset The algorithm is simple and fast

关键词： biometrics gait recognition natural feature

作者: Yan-qiu Liu Xu Wang

作者单位: College of Information, Northeastern University, Shenyang, China College of Information, Liaoning Un College of Information, Northeastern University, Shenyang, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 91-93

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）