Abstract
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.
| Original language | English |
|---|---|
| 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 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1149-1152 |
| Number of pages | 4 |
| Volume | 2017-December |
| ISBN (Electronic) | 9781509040315 |
| DOIs | |
| Publication status | Published - 2017 Dec 12 |
| Event | 8th International Conference on Information and Communication Technology Convergence, ICTC 2017 - Jeju Island, Korea, Republic of Duration: 2017 Oct 18 → 2017 Oct 20 |
Other
| Other | 8th International Conference on Information and Communication Technology Convergence, ICTC 2017 |
|---|---|
| Country | Korea, Republic of |
| City | Jeju Island |
| Period | 17/10/18 → 17/10/20 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Information Systems and Management
Cite this
Crowdedness measuring system considering view angle of CCTV camera. / Kim, Yewon; Park, Seongjoon; Kim, Hwangnam.
International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017. Vol. 2017-December Institute of Electrical and Electronics Engineers Inc., 2017. p. 1149-1152.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Crowdedness measuring system considering view angle of CCTV camera
AU - Kim, Yewon
AU - Park, Seongjoon
AU - Kim, Hwangnam
PY - 2017/12/12
Y1 - 2017/12/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85046897583&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046897583&partnerID=8YFLogxK
U2 - 10.1109/ICTC.2017.8190882
DO - 10.1109/ICTC.2017.8190882
M3 - Conference contribution
VL - 2017-December
SP - 1149
EP - 1152
BT - International Conference on Information and Communication Technology Convergence
PB - Institute of Electrical and Electronics Engineers Inc.
ER -