Performance Evaluation of Various Deep Learning Models in Gait Recognition Using the CASIA-B Dataset

Performance Evaluation of Various Deep Learning Models in Gait Recognition Using the CASIA-B Dataset

Human gait recognition (HGR) has been employed as a biometric technique for security purposes over the last decade. Various factors, including clothing, carrying items, and walking surfaces, can influence the performance of gait recognition. Additionally, identifying individuals from different viewp...

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Bibliographic Details
Main Authors: Nakib Aman, Md. Rabiul Islam, Md. Faysal Ahamed, Mominul Ahsan
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Technologies
Subjects:
gait recognition
deep learning
convolutional neural network
multi-layer perceptron
self-organizing map
transfer learning
Online Access:https://www.mdpi.com/2227-7080/12/12/264
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