Model-free supervised learning-based gait authentication scheme based on optimized gabor features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08029-8.pdf
Reference28 articles.
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3. Boulgouris N, Huang X (2013) Gait recognition using HMMs and dual discriminative observations for sub-dynamics analysis. IEEE Trans Image Process 22(09):3636–3647
4. Connie T, Goh M, Teoh A (2017) A grassmannian approach to address view change problem in gait recognition. IEEE Trans Cybern 47(06):1395–1408
5. Guan Y, Li C, Roli F (2015) On reducing the effect of covariate factors in gait recognition: a classifier ensemble method. IEEE Trans Pattern Anal Mach Intell 37(07):1521–1529
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