对新冠肺炎疫情期间口罩佩戴标准化的认识

Mufan Yu, Shanshan Zou, A. Jia, Xiangzhang Cheng
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引用次数: 1

摘要

面对新冠肺炎疫情,在公共场合戴口罩非常重要。本文采用一种改进的卷积神经网络算法DFS (detection with feature fusion and segmentation supervision)进行人脸检测,并采用YCrCb椭圆肤色模型进行人脸识别。我们希望通过该项目在公共交通等公共场所的应用,更好地监管戴口罩人员的规范化。通过本项目的应用,可以降低人类感染的风险,从而更好地预防和控制疫情。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognition of the standardization of wearing masks during the epidemic of COVID-19
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.
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