Suspicious Human Activity Recognition From Surveillance Videos Using Deep Learning

Suspicious Human Activity Recognition From Surveillance Videos Using Deep Learning

Suspicious Human activity recognition (SHAR) is crucial for improving surveillance and security systems by recognizing and reducing possible hazards in different situations. This study focuses on the task of precisely identifying potentially suspicious human behaviour by utilizing an innovative appr...

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Bibliographic Details
Main Authors: Monji Mohamed Zaidi, Gabriel Avelino Sampedro, Ahmad Almadhor, Shtwai Alsubai, Abdullah Al Hejaili, Michal Gregus, Sidra Abbas
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Suspicious human activity recognition (SHAR)
deep learning
convolutional neural network
multimedia data
Online Access:https://ieeexplore.ieee.org/document/10620187/

Internet

https://ieeexplore.ieee.org/document/10620187/

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