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

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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Bibliographic Details
Main Authors: Ausrukona Ray, Md. Zasim Uddin, Kamrul Hasan, Zinat Rahman Melody, Prodip Kumar Sarker, Md Atiqur Rahman Ahad
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
gait recognition
skeleton-based gait recognition
human pose estimation algorithm
feature-level fusion
decision-level fusion
residual graph convolutional network
Online Access:https://www.mdpi.com/1424-8220/24/23/7669
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