Implementation of machine learning algorithms for gait recognition-Reference-Cited by-同舟云学术

Implementation of machine learning algorithms for gait recognition

Published:2020-08 Issue:4 Volume:23 Page:931-937
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Kececi Aybuke,Yildirak Armağan,Ozyazici Kaan,Ayluctarhan Gulsen,Agbulut Onur,Zincir Ibrahim

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference21 articles.

1. Gait recognition system for human identification using BPNN classifier;Sharma;Int. J. Innov. Technol. Explor. Eng.,2013

2. Siamese neural network-based gait recognition for human identification;Zhang,2016

3. Gait analysis for identification by using BPNN with LDA and MDA techniques;Gaba,2014

4. Gait recognition based on the golden ratio;Liang;EURASIP J. Image Video Process.,2016

5. A comprehensive study on cross-view gait based human identification with deep CNNS;Wu;IEEE Trans. Pattern Anal. Mach. Intell.,2016

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