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A Method for Detecting Non-Mask Wearers Based on Regression Analysis

Computers, Materials & Continua 2022年第9期72卷 4411-4431页

作者： Dokyung Hwang Hyeonmin Ro Naejoung Kwak Jinsang Hwang Dongju Kim POSTECH Institute of Artificial Intelligence Pohang24257Korea Department of Information Security at Pai Chai University Daejeon35345Korea Department of Safety and Emergency Management at Kyungwoon University Gumi39160Korea

A novel practical and universal method of mask-wearing detection has been proposed to prevent viral respiratory *** proposed method quickly and accurately detects mask and facial regions using welltrained You Only Look Once(YOLO)detector,then applies image coordinates of the detected bounding box(bbox).First,the data that is used to train our model is collected under various circumstances such as light disturbances,distances,time variations,and different climate *** also contains various mask types to detect in general and universal application of the *** detect mask-wearing status,it is important to detect facial and mask region accurately and we created our own dataset by taking picture of ***,the Convolutional Neural Network(CNN)model is trained with both our own dataset and open dataset to detect under heavy foot-traffic(Indoors).To make the model robust and reliable in various environment and situations,we collected various sample data in different *** through the experiment,we found out that there is a particular gradient according to the mask-wearing *** proposed method searches the point where the distance between the gradient for each state and the coordinate information of the detected object is the *** it carry out the classification of mask-wearing status of detected ***,we defined and classified three different mask-wearing states according to the mask’s position(With mask,Wear a mask around chin and Without mask).The gradient according to the mask-wearing status,is analyzed through linear *** regression interpretation is based on coordinate information of mask-wearing status and the sample data collected in simulated environment that considering distances between objects and the camera in the World Coordinate *** the experiments,we found out that linear regression analysis is more suitable than logistic regression analysis for classification of people wea

关键词： automatic quarantine process detection of improper mask wearers facial image coordinates convolution neural network

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