GaitSCM: Causal representation learning for gait recognition

Gait recognition is a promising biometric technology that aims to identify the target subject via walking pattern. Most existing appearance-based methods focus on learning discriminative spatio-temporal representations from gait silhouettes. However, these methods pay less attention to probing the c...

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Bibliographic Details

Published in:	Computer vision and image understanding Vol. 243; p. 103995
Main Authors:	Huo, Wei, Wang, Ke, Tang, Jun, Wang, Nian, Liang, Dong
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.06.2024
Subjects:	Causal representation learning Disentangled representation learning Gait recognition Global and local feature extractor Causal representation learning Global and local feature extractor Disentangled representation learning Gait recognition
ISSN:	1077-3142, 1090-235X
Online Access:	Get full text
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