GaitGCN++: Improving GCN-based gait recognition with part-wise attention and DropGraph

Gait recognition is becoming one of the promising methods for biometric authentication owing to its self-effacing nature. Contemporary approaches of joint position-based gait recognition generally model gait features using spatio-temporal graphs which are often prone to overfitting. To incorporate l...

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Bibliographic Details

Published in:	Journal of King Saud University: Computer and Information Sciences
Main Authors:	Md. Bakhtiar Hasan, Tasnim Ahmed, Sabbir Ahmed, Md. Hasanul Kabir
Format:	Article
Language:	English
Published:	Springer 2023-07-01
Subjects:	Biometric authentication Hop extraction ResGCN Joint position Graph Convolutional Network
Online Access:	http://www.sciencedirect.com/science/article/pii/S1319157823001957