An end-to-end gait recognition system for covariate conditions using custom kernel CNN

Gait recognition is the identification of individuals based on how they walk. It can identify an individual of interest without their intervention, making it better suited for surveillance from afar. Computer-aided silhouette-based gait analysis is frequently employed due to its efficiency and effec...

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Bibliographic Details

Published in:	Heliyon
Main Authors:	Babar Ali, Maryam Bukhari, Muazzam Maqsood, Jihoon Moon, Eenjun Hwang, Seungmin Rho
Format:	Article
Language:	English
Published:	Elsevier 2024-06-01
Subjects:	Gait recognition Covariate factors Deep learning Convolutional neural networks Custom kernel CNN
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405844024089655