Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review-Reference-Cited by-同舟云学术

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Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review

Published:2023-01-18 Issue:8 Volume:56 Page:8889-8953
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Parashar Anubha,Parashar Apoorva,Ding Weiping,Shekhawat Rajveer S.,Rida Imad

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-022-10365-4.pdf

Reference162 articles.

1. Alharthi AS et al (2019) Deep learning for monitoring of human gait: a review. IEEE Sens J 19(21):9575–9591

2. Alotaibi M, Mahmood A (2017) Reducing covariate factors of gait recognition using feature selection and dictionary-based sparse coding. Signal Image Video Process 11:1131–1138

3. Alotaibi M, Mahmood A (2017) Improved gait recognition based on specialized deep convolutional neural network. Comput Vis Image Underst 164:103–110

4. An W, Yu S, Makihara Y, Wu X, Xu C, Yu Y, Yagi Y (2020) Performance evaluation of model-based gait on multi-view very large population database with pose sequences. IEEE Trans Biom Behav Ident Sci 2(4):421–430

5. Arshad H, Khan MA, Sharif MI, Yasmin M, Tavares JMR, Zhang YD, Satapathy SC (2022) A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition. Expert Syst 39(7):e12541

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