F3S：自由流发热筛查
F3S: Free Flow Fever Screening
摘要：
识别体温升高的人可以减少或大大减缓COVID-19等传染病的传播。我们提出了一种新的发热筛查系统F3 S，该系统使用边缘机器学习技术来准确测量自由流动环境中多个个体的核心体温。F3 S执行视觉摄像机与热成像摄像机数据流的实时传感器融合，以检测体温升高，它具有几个独特的功能：（a）视觉和热流代表非常不同的模态，并且我们通过使用实时分析内容和上下文的新的动态对齐技术，动态地将视觉和热帧中的语义等同区域关联起来，（b）我们通过遮挡来跟踪人，（内眦）、前额、面部和头部区域，并且通过使用优先化的细化算法来提供准确的温度读数，以及（c）我们稳健地检测升高的体温，即使在存在个人防护设备如面罩、或太阳镜或帽子的情况下，所有这些都可能受到炎热天气的影响并导致虚假的温度读数。F3 S已被部署在十几个大型商业机构，为数千名员工和客户在室内和室外环境中提供无接触，自由流动，实时发烧筛查。
英文摘要：
Identification of people with elevated body temperature can reduce or dramatically slow down the spread of infectious diseases like COVID-19. We present a novel fever-screening system, F3S, that uses edge machine learning techniques to accurately measure core body temperatures of multiple individuals in a free-flow setting. F3S performs real-time sensor fusion of visual camera with thermal camera data streams to detect elevated body temperature, and it has several unique features: (a) visual and thermal streams represent very different modalities, and we dynamically associate semantically-equivalent regions across visual and thermal frames by using a new, dynamic alignment technique that analyzes content and context in real-time, (b) we track people through occlusions, identify the eye (inner canthus), forehead, face and head regions where possible, and provide an accurate temperature reading by using a prioritized refinement algorithm, and (c) we robustly detect elevated body temperature even in the presence of personal protective equipment like masks, or sunglasses or hats, all of which can be affected by hot weather and lead to spurious temperature readings. F3S has been deployed at over a dozen large commercial establishments, providing contact-less, free-flow, real-time fever screening for thousands of employees and customers in indoors and outdoor settings.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
