Recognition of the standardization of wearing masks during the epidemic of COVID-19
2nd IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021
; : 728-732, 2021.
Article
in English
| Scopus | ID: covidwho-1247075
ABSTRACT
In face of COVID-19, it is very important to wear masks in public. In this article, we use a kind of improved convolutional neural network algorithm DFS (detection with feature fusion and segmentation supervision) for face detection, and YCrCb elliptic skin color model is used for mask recognition. We expect to better supervise the standardization of people wearing masks, through the application of this project in public places such as public transport. With the applying of this project, the risk of human infection can be reduced, so as to better prevent and control the epidemic. © 2021 IEEE.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2nd IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021
Year:
2021
Document Type:
Article
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