contributor author | Ozan Celik | |
contributor author | Chuan-Zhi Dong | |
contributor author | F. Necati Catbas | |
date accessioned | 2022-01-30T20:15:31Z | |
date available | 2022-01-30T20:15:31Z | |
date issued | 2020 | |
identifier other | %28ASCE%29CF.1943-5509.0001345.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4266773 | |
description abstract | In this article, a new measurement method for human comfort assessment levels for stadiums is proposed and demonstrated. The method is based on a specific computer vision and image processing algorithm called optical flow. The motion of the structure can be tracked and well-known human comfort index measures RMS and Vibration Dose Value (VDV) can be computed accordingly. The implementation was carried out using simple off-the-shelf cameras and the results were compared with conventional accelerometers. The analyses from tracking structural elements return similar results as accelerometers. The proposed methods and algorithms along with the computer vision technologies can be employed for practical human comfort assessment of structures. | |
publisher | ASCE | |
title | Computer Vision–Based Human Comfort Assessment of Stadiums | |
type | Journal Paper | |
journal volume | 34 | |
journal issue | 2 | |
journal title | Journal of Performance of Constructed Facilities | |
identifier doi | 10.1061/(ASCE)CF.1943-5509.0001345 | |
page | 04020005 | |
tree | Journal of Performance of Constructed Facilities:;2020:;Volume ( 034 ):;issue: 002 | |
contenttype | Fulltext | |