Title
Human Localization Using a Single Camera Towards Social Distance Monitoring During Sports
Abstract
Coronavirus disease 2019 (COVID-19) is still prevalent in the world. Social distancing is more important during exercise because we may not be able to wear masks to avoid breathing problems, heatstroke, etc. For supporting management of social distancing, we are developing a human localization system using a single camera especially for sports schools and gyms. We rely on a single camera because of the deployment cost. The system recognizes people from a video and estimates the human positions for supporting management of social distancing. The challenge is the error owing to pose variation during sports. In order to solve the problem, we adjust the height of the waist according to the pose of the legs. For evaluation, we collected 80 images with 5 kinds of poses. The results show that we successfully reduce the absolute position error by 23 cm on average.
Year
DOI
Venue
2021
10.1007/978-3-030-94822-1_27
MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES
Keywords
DocType
Volume
Social distancing, Human detection, Localization
Conference
419
ISSN
Citations 
PageRank 
1867-8211
0
0.34
References 
Authors
0
8
Name
Order
Citations
PageRank
Ryosuke Hasegawa101.69
Akira Uchiyama27814.48
Fumio Okura34310.01
Daigo Muramatsu426224.88
Issei Ogasawara501.01
Hiromi Takahata600.34
Ken Nakata700.34
Higashino, T.81915.19