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.
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Ben, X., Yang, W., Wang, H., Wang, S. (2013). Performance Analysis of Matrix Gait Recognition under Linear Interpolation Framework. In: Yang, J., Fang, F., Sun, C. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2012. Lecture Notes in Computer Science, vol 7751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36669-7_86
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DOI: https://doi.org/10.1007/978-3-642-36669-7_86
Publisher Name: Springer, Berlin, Heidelberg
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