标题:Performance analysis of matrix gait recognition under linear interpolation framework
作者:Ben, Xianye ;Yang, Wankou ;Wang, Hongyuan ;Wang, Shengdi
作者机构:[Ben, Xianye ;Wang, Hongyuan ;Wang, Shengdi ] School of Information Science and Engineering, Shandong University, Jinan 250100, China;[Yang, Wankou ] 更多
会议名称:3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012
会议日期:15 October 2012 through 17 October 2012
来源:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版年:2013
卷:7751 LNCS
页码:711-718
DOI:10.1007/978-3-642-36669-7_86
关键词:Gait period detection; Gait recognition; Linear interpolation framework; Pseudo-Zernike moment
摘要:A novel gait period detection algorithms based on pseudo-Zernike moments was proposed in this paper. Pseudo-Zernike moments can directly detect gait periodicity because of its characteristic of describing movement images. As features in one frame were only relevant to those in prior and subsequent frames during walking, a framework for matrix gait recognition based on linear interpolation was proposed. Then, Trace transform and Fan-Beam projection were used as instantiation in CASIA(B) gait database to prove the validity of gait recognition framework, which has brought new ideas to solve gait recognition problem. © Springer-Verlag 2013.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84892939522&doi=10.1007%2f978-3-642-36669-7_86&partnerID=40&md5=2f2ab25ba59d96e06a4ba8caf654772f
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