摘要
当前新冠肺炎防控期间,针对轨道交通车站等封闭场合的乘客是否佩戴口罩和非接触式体温测量等迫切需求,介绍基于视频的乘客口罩佩戴检测及非接触测温技术原理与发展现状,以及适用于轨道交通应用场景的可行方案,为助力打赢疫情防控阻击战提供技术支撑。
During the current prevention and control of COVID-19,in response to the urgent needs such as maskwearing detection and non-contact temperature measurement for passengers in enclosed places like rail transit stations,this paper introduces the principles and development status of the video-based mask-wearing detection and non-contact temperature measurement technology,as well as the feasible solutions applicable to rail transit scenarios,providing technical support for winning the battle against the epidemic.
作者
谢征宇
曹志威
李永玲
秦勇
于格
XIE Zhengyu;CAO Zhiwei;LI Yongling;QIN Yong;YU Ge(School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China;Zhongguancun Video and Security Industry Technology Alliance for Rail Transit,Beijing 100089,China;State key Lab of Rail Traffic Control&Safety,Beijing Jiaotong University,Beijing 100044,China)
出处
《中国铁路》
2020年第3期126-131,共6页
China Railway
关键词
轨道交通车站
口罩佩戴检测
红外热成像测温
视频
深度学习
rail transit station
mask-wearing detection
infrared thermal imaging and temperature measurement
video
deep learning