摘要
针对传统非接触式测温技术存在的测温效率低、测温数据不准、漏检率高等问题,提出了一种基于人像检测、人员跟踪、红外热成像等多技术融合的大流量智能测温系统。该系统通过人像检测技术获取人脸信息;通过人员跟踪技术连续跟踪人体并准确定位人脸及额头位置;通过红外热成像技术获取人脸温度,将测温数据与人脸信息关联,实现精准测温。
According to the problems of temperature measurement low efficiency,inaccurate temperature measurement and high missed detection rate of traditional non-contact temperature measurement technology,this paper presented a large flow intelligent temperature measurement system based on the fusion of portrait detection,personnel tracking and infrared thermal imaging.The system obtained face information through portrait detection technology;continuously tracked human body and accurately locate the position of face and forehead through personnel tracking technology;obtained the face temperature by infrared thermal imaging technology,and associated the temperature measurement data with the face information,achieved accurate temperature measurement.
作者
赵耀
ZHAO Yao(Electrification&Telegraphy Engineering Design Research Department,China Railway Design Corporation,Tianjin 300308,China)
出处
《铁路计算机应用》
2021年第9期31-34,共4页
Railway Computer Application
基金
中国铁路设计集团有限公司科技开发课题(2020YY240802)。
关键词
人像检测
人员跟踪
轨迹跟踪
红外热成像
智能测温
portrait detection
personnel tracking
trajectory tracking
infrared thermal imaging
intelligent temperature measurement