Advanced deep learning for masked individual surveillance

During Covid-19 pandemic, face masks have become a ubiquitous protective measure. This poses new challenges for surveillance systems that heavily rely on facial recognition. To address this critical issue, we present a novel enhanced surveillance system that leverages deep learning techniques to tac...

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Bibliographic Details
Main Authors: Mohamed Elhoseny, Ahmed Hassan, Marwa H. Shehata, Mohammed Kayed
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:International Journal of Cognitive Computing in Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S266630742400024X
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