In this paper, we propose a system to measure the crowdedness of a specific area using CCTV images. In the proposed system, objects are distinguished by using the Visual Background Extractor (ViBe) algorithm. The background that has not been removed by the ViBe is excluded from the object area using the opening technique. Then, the object area assigned to different weights based on the pixel positions is calculated. By dividing the obtained area by the total area, the degree of crowdedness which is proportional to the population is derived. The weight of each pixel is determined by the position and the angle of view information of the actual CCTV camera.
|Title of host publication
|International Conference on Information and Communication Technology Convergence
|Subtitle of host publication
|ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 2017 Dec 12
|8th International Conference on Information and Communication Technology Convergence, ICTC 2017 - Jeju Island, Korea, Republic of
Duration: 2017 Oct 18 → 2017 Oct 20
|International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
|8th International Conference on Information and Communication Technology Convergence, ICTC 2017
|Korea, Republic of
|17/10/18 → 17/10/20
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2015R1D1A1A01059151).
© 2017 IEEE.
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Information Systems and Management