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...
Saved in:
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmasking
by: Mohamed Mahmoud, et al.
Published: (2024-09-01) -
Generating and Improving a Dataset of Masked Faces Using Data Augmentation
by: Waleed Ayad, et al.
Published: (2023-06-01) -
Mask Material Filtration Efficiency and Mask Fitting at the Crossroads: Implications during Pandemic Times
by: Karin Ardon-Dryer, et al.
Published: (2021-03-01) -
Masked and unmasked Face Recognition Model Using Deep Learning Techniques. A case of Black Race.
by: Mabiriz,I, Vicent, et al.
Published: (2024) -
The Impact of Wearing a Face Mask during the COVID-19 Pandemic on Temporomandibular Joint: A Radiological and Questionnaire Assessment
by: Moath Zuhour, et al.
Published: (2022-02-01)