A survey on computer vision based human analysis in the COVID-19 era.
COVID-19
Computer vision
Human analysis
Masked faces
Survey
Journal
Image and vision computing
ISSN: 0262-8856
Titre abrégé: Image Vis Comput
Pays: England
ID NLM: 101151810
Informations de publication
Date de publication:
Feb 2023
Feb 2023
Historique:
received:
07
11
2022
accepted:
11
12
2022
pubmed:
22
12
2022
medline:
22
12
2022
entrez:
21
12
2022
Statut:
ppublish
Résumé
The emergence of COVID-19 has had a global and profound impact, not only on society as a whole, but also on the lives of individuals. Various prevention measures were introduced around the world to limit the transmission of the disease, including face masks, mandates for social distancing and regular disinfection in public spaces, and the use of screening applications. These developments also triggered the need for novel and improved computer vision techniques capable of
Identifiants
pubmed: 36540857
doi: 10.1016/j.imavis.2022.104610
pii: S0262-8856(22)00239-6
pmc: PMC9755265
doi:
Types de publication
Journal Article
Langues
eng
Pagination
104610Informations de copyright
© 2022 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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