Identifying CCTV Surveillance Coverage Using MMS-Acquired Point Cloud and CCTV Images-Reference-Cited by-同舟云学术

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Identifying CCTV Surveillance Coverage Using MMS-Acquired Point Cloud and CCTV Images

Published:2024-01-25 Issue: Volume:160 Page:421-428
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Choi Wonjun¹²²²³,Kwon Youngmok¹²²²³,Lee Jisang¹²²²³,Kim CheolHwan¹²²²³,Sohn Hong-Gyoo¹²²²³

Affiliation:

1. GRS Laboratory, Dept. of Civil and Environmental Engineering, Yonsei Univ. ORCID: .

2. GRS Laboratory, Dept. of Civil and Environmental Engineering, Yonsei Univ.Email:

3. Professor, Dept. of Civil Engineering, Yonsei Univ., Seoul, South Korea . ORCID: .

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485224.051

Reference17 articles.

1. Bujnak M. Z. Kukelova and T. Pajdla. (2011). New efficient solution to the absolute pose problem for camera with unknown focal length and radial distortion Proc. of Asian Conference on Computer Vision Queenstown New Zealand November. 8-12 10 11–24.

2. Visualization of CCTV coverage in public building space using BIM technology;Chen H. T.;Visualization in Engineering,2013

3. The effect of traffic cameras on police effort: Evidence from India;Conover E.;Journal of Development Economics,2023

4. Fitzgibbon A. W. (2001). Simultaneous linear estimation of multiple view geometry and lens distortion Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Kauai HI December.8-14 1 125–132.

5. Surveillance of a 2D plane area with 3D deployed cameras;Fu Y. G.;Sensors,2014

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