摘要
步态识别是一种具有远距离非侵犯性特点的生物特征识别技术,它根据人们走路姿态的不同,从步行运动图像中提取特征进行身份的识别。一个完整的步态识别过程通常包括:步态序列获取、步态检测、步态提取和分类识别。本文简要介绍了这四个过程的常用方法,针对特征提取方法,从视角数目的不同进行了分类,重点介绍了近几年多视角步态识别的新算法,并总结了当前步态识别研究中存在的问题,展望了未来的发展趋势。
Gait recognition is a new technology in biometric recognition and medical treatment which has advantages such as long-distance and non-invasiveness. Depending on the differences between different people＇s walking postures, we can recognize individuals by characteristics extracted from the images of walking movement. A complete gait recognition process usually includes gait sequence acquisition, gait detection, feature extracting and recognition. In this paper, the commonly used methods of these four processes are introduced, and feature extraction methods are classified from different multi-angle views. And then the new algorithm of multi-view emerged in recent years is highlighted. In addition, this paper summarizes the existing difficulties of gait recognition, and looks into the future development trends of it.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2014年第1期205-209,共5页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(61103123)
