Crowdedness measuring system considering view angle of CCTV camera

Yewon Kim, Seongjoon Park, Hwangnam Kim

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationInternational Conference on Information and Communication Technology Convergence
Subtitle of host publicationICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1149-1152
Number of pages4
Volume2017-December
ISBN (Electronic)9781509040315
DOIs
Publication statusPublished - 2017 Dec 12
Event8th International Conference on Information and Communication Technology Convergence, ICTC 2017 - Jeju Island, Korea, Republic of
Duration: 2017 Oct 182017 Oct 20

Other

Other8th International Conference on Information and Communication Technology Convergence, ICTC 2017
CountryKorea, Republic of
CityJeju Island
Period17/10/1817/10/20

ASJC Scopus subject areas

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

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  • 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