The COVID-19 virus has caused a global pandemic since March 2020. The World Health Organization (WHO) has provided guidelines on how to reduce the spread of the virus and one of the most important measures is social distancing. Maintaining a minimum of one meter distance from other people is strongly suggested to reduce the risk of infection. This has created a strong interest in monitoring the social distances either as a safety measure or to study how the measures have affected human behavior and country-wise differences in this. The need for automatic social distance estimation algorithms is evident, but there is no suitable test benchmark for such algorithms. Collecting images with measured ground-truth pair-wise distances between all the people using different camera settings is cumbersome. Furthermore, performance evaluation for social distance estimation algorithms is not straightforward and there is no widely accepted evaluation protocol. In this paper, we provide a dataset of varying images with measured pair-wise social distances under different camera positionings and focal length values. We suggest a performance evaluation protocol and provide a benchmark to easily evaluate social distance estimation algorithms. We also propose a method for automatic social distance estimation. Our method takes advantage of object detection and human pose estimation. It can be applied on any single image as long as focal length and sensor size information are known. The results on our benchmark are encouraging with 92% human detection rate and only 28.9% average error in distance estimation among the detected people.
翻译:自2020年3月以来,COVID-19病毒引发了一场全球大流行病。世界卫生组织(世卫组织)就如何减少病毒传播提供了指导方针,其中最重要的措施之一是社会偏移。为了降低感染风险,强烈建议保持与其他人的最低一米距离,以降低感染风险。这在监测社会距离方面产生了浓厚的兴趣,要么作为一项安全措施,要么研究措施如何影响人类行为和这方面的国情差异。显然需要自动的社会距离估计算法,但对这种算法没有适当的测试基准。收集使用不同相机设置的所有人之间测得的地面对称对称距离图像十分繁琐。此外,社会距离估计算法的业绩评价并非直截了当,而且没有得到广泛接受的评价程序。在本文中,我们提供了一套以不同相机定位和焦距值价值衡量的对等社会距离的社会距离不同图像的数据集。我们建议了一个业绩评估协议,并为容易评估社会距离估计算法提供了基准。我们还提出了一种自动社会距离估算方法。我们的方法利用了目标探测的优势,而人类平均测距率为28的测距率。我们测得的测距率为28度的测距率。我们测测算中,可以应用任何单一测距率的测算结果。