步态识别研究进展  

State-of-the-Art on Gait Recognition

作　　者：柴艳妹[1] 夏天[2] 韩文英[1] 李海峰[1] 

机构地区：[1]中央财经大学信息学院,北京100081 [2]上海第二工业大学计算机与信息学院,上海201209

出　　处：《计算机科学》2012年第6期10-15,46,共7页Computer Science

基　　金：国家自然科学基金项目(60970143);中央财经大学‘211工程’三期(CUFEXX2011-3-1);中财121人才工程青年博士发展基金项目(QBJGL201005);中央财经大学科研创新团队支持计划资助

摘　　要：近年来步态识别技术已经成为生物特征识别领域一个新的研究热点。该技术是唯一可在远距离非接触状态下识别生物特征的技术,因此引起了各国学术科研机构的重视。对步态识别系统的一般处理过程进行了综述,重点分析和跟踪了步态特征提取技术的最新研究进展,讨论了各种方法中典型技术的优缺点和步态识别技术所面临的挑战,并概括介绍了常用的步态评测数据库和实验结果,最后展望了步态识别技术未来的发展方向和趋势。As a new technology of biometrics,gait recognition has attracted a great of interest in computer vision community due to its advantage of unobtrusive recognition at a distance.In this paper,the general process of gait recognition was described firstly.Then the paper reviewed most existing typical methods for gait recognition and analysed their respective pros and cons.In addition,challenges that constrain practical application of gait recognition systems were discussed and more than 10 publically available datasets and experimental results of some typical methods were reported.Finally,future trends were given to guide further research in this field.

关 键 词：步态识别 特征提取 性能评测 进展 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]