학술논문

Recognition of the standardization of wearing masks during the epidemic of COVID-19
Document Type
Conference
Source
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Image Processing, Electronics and Computers (IPEC), 2021 IEEE Asia-Pacific Conference on. :728-732 Apr, 2021
Subject
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
COVID-19
Epidemics
Image recognition
Image color analysis
Face recognition
Standardization
Feature extraction
mask wearing
recognition
DFS
YCrCb
Language
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.