Multi-Biometric Feature Extraction from Multiple Pose Estimation Algorithms for Cross-View Gait Recognition

Gait recognition is a behavioral biometric technique that identifies individuals based on their unique walking patterns, enabling long-distance identification. Traditional gait recognition methods rely on appearance-based approaches that utilize background-subtracted silhouette sequences to extract...

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Bibliografiska uppgifter

Huvudupphov:	Ausrukona Ray, Md. Zasim Uddin, Kamrul Hasan, Zinat Rahman Melody, Prodip Kumar Sarker, Md Atiqur Rahman Ahad
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2024-11-01
Serie:	Sensors
Ämnen:	gait recognition skeleton-based gait recognition human pose estimation algorithm feature-level fusion decision-level fusion residual graph convolutional network
Länkar:	https://www.mdpi.com/1424-8220/24/23/7669
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