Telehealth has the potential to offset the high demand for help during public health emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG) - the problem of non-invasively estimating blood volume variations in the microvascular tissue from video - would be well suited for these situations. Over the past few years a number of research groups have made rapid advances in remote PPG methods for estimating heart rate from digital video and obtained impressive results. How these various methods compare in naturalistic conditions, where spontaneous behavior, facial expressions, and illumination changes are present, is relatively unknown. To enable comparisons among alternative methods, the 1st Vision for Vitals Challenge (V4V) presented a novel dataset containing high-resolution videos time-locked with varied physiological signals from a diverse population. In this paper, we outline the evaluation protocol, the data used, and the results. V4V is to be held in conjunction with the 2021 International Conference on Computer Vision.

翻译：远程光谱成像仪(rPPG) — — 用视频对显微血管组织中的血量变化进行非侵入性估计的问题 — — 将非常适合这些情况。在过去几年里,一些研究小组在利用数字视频估算心率的远程PPG方法方面取得了快速进步,并取得了令人印象深刻的结果。这些方法如何在自然条件下比较,在自然条件下出现自发行为、面部表情和照明变化,这些方法如何比较相对不为人所知。为了能够比较其他方法,《生命挑战第一展望》(V4V)提供了一套新数据集,其中包含高分辨率视频,其中含有来自不同人群的各种生理信号。我们在本文件中概述了评估程序、使用的数据和结果。V4V将结合2021年国际计算机视觉会议举行。