MMS 점군 데이터를 이용한 CCTV의 실질적 감시영역 추출

Translated title of the contribution: Creation of actual cctv surveillance map using point cloud acquired by mobile mapping system

Wonjun Choi, Soyeon Park, Yoonjo Choi, Seunghwan Hong, Namhoon Kim, Hong Gyoo Sohn

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Among smart city services, the crime and disaster prevention sector accounted for the highest 24% in 2018. The most important platform for providing real-time situation information is CCTV (Closed-Circuit Television). Therefore, it is essential to create the actual CCTV surveillance coverage to maximize the usability of CCTV. However, the amount of CCTV installed in Korea exceeds one million units, including those operated by the local government, and manual identification of CCTV coverage is a time-consuming and inefficient process. This study proposed a method to efficiently construct CCTV's actual surveillance coverage and reduce the time required for the decision-maker to manage the situation. For this purpose, first, the exterior orientation parameters and focal lengths of the pre-installed CCTV cameras, which are difficult to access, were calculated using the point cloud data of the MMS (Mobile Mapping System), and the FOV (Field of View) was calculated accordingly. Second, using the FOV result calculated in the first step, CCTV's actual surveillance coverage area was constructed with 1 m, 2 m, 3 m, 5 m, and 10 m grid interval considering the occluded regions caused by the buildings. As a result of applying our approach to 5 CCTV images located in Uljin-gun, Gyeongsnagbuk-do the average re-projection error was about 9.31 pixels. The coordinate difference between calculated CCTV and location obtained from MMS was about 1.688 m on average. When the grid length was 3 m, the surveillance coverage calculated through our research matched the actual surveillance obtained from visual inspection with a minimum of 70.21% to a maximum of 93.82%.

Translated title of the contributionCreation of actual cctv surveillance map using point cloud acquired by mobile mapping system
Original languageKorean
Pages (from-to)1361-1371
Number of pages11
JournalKorean Journal of Remote Sensing
Issue number5-13
Publication statusPublished - 2021

Bibliographical note

Publisher Copyright:
© 2021 Korean Society of Remote Sensing. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)
  • Engineering (miscellaneous)


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