Performance analysis of matrix gait recognition under linear interpolation framework

Authors:
Xianye Ben;Wankou Yang;Hongyuan Wang;Shengdi Wang
Affiliations:
School of Information Science and Engineering, Shandong University, Jinan, China;School of Automation, Southeast University, Nanjing, China;School of Information Science and Engineering, Shandong University, Jinan, China;School of Information Science and Engineering, Shandong University, Jinan, China
Venue:
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Year:
2012

Citing 3
Cited 0

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Gait Analysis for Human Identification in Frequency Domain

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Gait recognition using linear time normalization

Pattern Recognition

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Abstract

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.