论文标题
远程生理信号传感（repss）的第一挑战
The 1st Challenge on Remote Physiological Signal Sensing (RePSS)
论文作者
论文摘要
视频中生理信号的远程测量是一个新兴主题。该主题引起了极大的兴趣，但是缺乏公开可用的基准数据库和一个公平的验证平台正在阻碍其进一步的发展。为此，我们组织了远程生理信号传感（REPS）的第一个挑战，其中为Kin研究人员评估其方法的两个基准提供了两个VIPL和OBF的数据库。代表的第一项挑战着重于衡量面部视频的平均心率，这是远程生理测量的基本问题。本文概述了挑战，包括数据，协议，结果分析和讨论。强调了排名最高的解决方案，以为研究人员提供见解，并为此主题概述了未来的方向和这个挑战。
Remote measurement of physiological signals from videos is an emerging topic. The topic draws great interests, but the lack of publicly available benchmark databases and a fair validation platform are hindering its further development. For this concern, we organize the first challenge on Remote Physiological Signal Sensing (RePSS), in which two databases of VIPL and OBF are provided as the benchmark for kin researchers to evaluate their approaches. The 1st challenge of RePSS focuses on measuring the average heart rate from facial videos, which is the basic problem of remote physiological measurement. This paper presents an overview of the challenge, including data, protocol, analysis of results and discussion. The top ranked solutions are highlighted to provide insights for researchers, and future directions are outlined for this topic and this challenge.
