Crowdedness measuring system considering view angle of CCTV camera

Yewon Kim; Seongjoon Park; Hwangnam Kim

doi:10.1109/ICTC.2017.8190882

Crowdedness measuring system considering view angle of CCTV camera

Yewon Kim, Seongjoon Park, Hwangnam Kim

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.1109/ICTC.2017.8190882
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

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Information Systems
Information Systems and Management

Access to Document

10.1109/ICTC.2017.8190882

Fingerprint Dive into the research topics of 'Crowdedness measuring system considering view angle of CCTV camera'. Together they form a unique fingerprint.

Cite this

Kim, Y., Park, S., & Kim, H. (2017). Crowdedness measuring system considering view angle of CCTV camera. In International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017 (Vol. 2017-December, pp. 1149-1152). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTC.2017.8190882

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

Kim, Y, Park, S & Kim, H 2017, Crowdedness measuring system considering view angle of CCTV camera. in 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., pp. 1149-1152, 8th International Conference on Information and Communication Technology Convergence, ICTC 2017, Jeju Island, Korea, Republic of, 17/10/18. https://doi.org/10.1109/ICTC.2017.8190882

Kim Y, Park S, Kim H. Crowdedness measuring system considering view angle of CCTV camera. In 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 https://doi.org/10.1109/ICTC.2017.8190882

Kim, Yewon ; Park, Seongjoon ; Kim, Hwangnam. / Crowdedness measuring system considering view angle of CCTV camera. 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. pp. 1149-1152

@inproceedings{b3423cbb594e4987a7432b67aca48664,

title = "Crowdedness measuring system considering view angle of CCTV camera",

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.",

author = "Yewon Kim and Seongjoon Park and Hwangnam Kim",

year = "2017",

month = dec,

day = "12",

doi = "10.1109/ICTC.2017.8190882",

language = "English",

volume = "2017-December",

pages = "1149--1152",

booktitle = "International Conference on Information and Communication Technology Convergence",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "8th International Conference on Information and Communication Technology Convergence, ICTC 2017 ; Conference date: 18-10-2017 Through 20-10-2017",

}

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

AN - SCOPUS:85046897583

VL - 2017-December

SP - 1149

EP - 1152

BT - International Conference on Information and Communication Technology Convergence

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th International Conference on Information and Communication Technology Convergence, ICTC 2017

Y2 - 18 October 2017 through 20 October 2017

ER -