Enhancing part-based gait recognition via ensemble learning and feature fusion

• Published in: Pattern analysis and applications : PAA Vol. 28; no. 2
• Main Authors: Yaprak, Büşranur, Gedikli, Eyüp
• Format: Journal Article
• Language: English
• Published: London Springer London 01.06.2025; Springer Nature B.V
• Subjects: Artificial neural networks; Body parts; Computer Science; Datasets; Ensemble learning; Gait recognition; Machine learning; Metamodels; Original Article; Pattern Recognition; Source code; Surveillance systems; Biometrics; Ensemble learning; Part-based gait recognition; Gait recognition

Gait, a behavior-based biometric feature, has gained increasing popularity in human identification, particularly in surveillance systems, due to its ability to function without physical contact or explicit consent. Traditional silhouette-based methods have demonstrated that different body parts exhi...