BAHGRF3: Human gait recognition in the indoor environment using deep learning features fusion assisted framework and posterior probability moth flame optimisation

BAHGRF3: Human gait recognition in the indoor environment using deep learning features fusion assisted framework and posterior probability moth flame optimisation

Abstract Biometric characteristics are playing a vital role in security for the last few years. Human gait classification in video sequences is an important biometrics attribute and is used for security purposes. A new framework for human gait classification in video sequences using deep learning (D...

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Bibliographic Details
Main Authors: Muhammad Abrar Ahmad Khan, Muhammad Attique Khan, Ateeq Ur Rehman, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Deepak Gupta, Saima Ahmed Rahin, Yudong Zhang
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
deep learning
feature fusion
feature optimization
gait classification
indoor environment
machine learning
Online Access:https://doi.org/10.1049/cit2.12368
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https://doi.org/10.1049/cit2.12368

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