A Study on the Estimation of Multi-Object Social Distancing Using Stereo Vision and AlphaPose


KIPS Transactions on Software and Data Engineering, Vol. 10, No. 7, pp. 279-286, Jul. 2021
https://doi.org/10.3745/KTSDE.2021.10.7.279,   PDF Download:
Keywords: Stereo vision, Distacne Estimation, Object Detection, Skeleton Extraction, Multi-Object
Abstract

Recently, We are carrying out a policy of physical distancing of at least 1m from each other to prevent the spreading of COVID-19 disease in public places. In this paper, we propose a method for measuring distances between people in real time and an automation system that recognizes objects that are within 1 meter of each other from stereo images acquired by drones or CCTVs according to the estimated distance. A problem with existing methods used to estimate distances between multiple objects is that they do not obtain three-dimensional information of objects using only one CCTV. his is because three-dimensional information is necessary to measure distances between people when they are right next to each other or overlap in two dimensional image. Furthermore, they use only the Bounding Box information to obtain the exact coordinates of human existence. Therefore, in this paper, to obtain the exact twodimensional coordinate value in which a person exists, we extract a person's key point to detect the location, convert it to a threedimensional coordinate value using Stereo Vision and Camera Calibration, and estimate the Euclidean distance between people. As a result of performing an experiment for estimating the accuracy of 3D coordinates and the distance between objects (persons), the average error within 0.098m was shown in the estimation of the distance between multiple people within 1m.


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Cite this article
[IEEE Style]
J. Lee, H. Bae, G. Jang, J. Kim, "A Study on the Estimation of Multi-Object Social Distancing Using Stereo Vision and AlphaPose," KIPS Transactions on Software and Data Engineering, vol. 10, no. 7, pp. 279-286, 2021. DOI: https://doi.org/10.3745/KTSDE.2021.10.7.279.

[ACM Style]
Ju-Min Lee, Hyeon-Jae Bae, Gyu-Jin Jang, and Jin-Pyeong Kim. 2021. A Study on the Estimation of Multi-Object Social Distancing Using Stereo Vision and AlphaPose. KIPS Transactions on Software and Data Engineering, 10, 7, (2021), 279-286. DOI: https://doi.org/10.3745/KTSDE.2021.10.7.279.