Computer vision that can ‘see’ in the dark

Insufficient lighting environment has raised challenges for night shift workers’ safety monitoring. Thus, we have developed a computer vision-based algorithm recognizing 11 actions based on action recognition in dark (ARID) dataset. A hybrid model of integrating convolutional neural network (CNN) i...

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Bibliographic Details

Main Authors:	Wong, Yan Chiew, Ahmad Radzi, Syafeeza, Goh, Shi Yong, Sarban Singh, Ranjit Singh
Format:	Article
Language:	en
Published:	Institute of Advanced Engineering and Science 2024
Online Access:	http://eprints.utem.edu.my/id/eprint/28737/2/01298150420251318331746.pdf http://eprints.utem.edu.my/id/eprint/28737/ https://ijai.iaescore.com/index.php/IJAI/article/view/24211 http://doi.org/10.11591/ijai.v13.i3.pp2883-2892
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