Model-free supervised learning-based gait authentication scheme based on optimized gabor features-Reference-Cited by-同舟云学术

Model-free supervised learning-based gait authentication scheme based on optimized gabor features

Published:2023-03-16 Issue:8 Volume:27 Page:5053-5062
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Ambika K.,Radhika K. R.

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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