Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches-Reference-Cited by-同舟云学术

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Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches

Published:2023-08 Issue: Volume:172 Page:65-73
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Parashar Anubha^ORCID,Parashar Apoorva,Ding Weiping,Shabaz Mohammad,Rida Imad

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference69 articles.

1. Robust gait recognition: a comprehensive survey;Rida;IET Biom.,2019

2. Gait recognition based on modified phase-only correlation;Rida;Signal, ImageVideo Process.,2016

3. Intra-class variations with deep learning-based gait analysis: a comprehensive survey of covariates and methods;Parashar;Neurocomputing,2022

4. Unsupervised feature selection method for improved human gait recognition;Rida,2015

5. Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review;Parashar;Artif. Intell. Rev.,2023

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