Artificial Intelligence CCTV Operation Model Applying Road Markers 


Vol. 48,  No. 1, pp. 74-80, Jan.  2023
10.7840/kics.2023.48.1.74


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  Abstract

Most CCTVs operated by public institutions for crime prevention, parking enforcement and etc. are located on roads. The number of CCTVs is rapidly increasing due to the increase in video usage. In order to provide the analysis service of the video captured by CCTV, the computing power and the video analysis speed must be increased at the same rate. If the region of Interests(ROI) is declared in the CCTV video and the video is analyzed by applying the network model only to that area, the required computing power can be reduced. However, the angle of view of the CCTV is changed due to shock, vibration, or bolt loosening by a vehicle or operator. Changing the angle of view creates a situation where AI image analysis service is impossible. In this paper, we propose an artificial intelligence convergence control ROI setting based on the operation of markers on the road. We study ways to reduce computing power by setting CCTV image analysis to be possible only within the ROI. And, when the ROI of CCTV is changed by external force, we propose a method of automatically resetting the ROI with artificial intelligence convergence control of S/W and H/W. As a result, the effectiveness of CCTV operated by public institutions will be improved.

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[IEEE Style]

D. H. Lim and D. Park, "Artificial Intelligence CCTV Operation Model Applying Road Markers," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 1, pp. 74-80, 2023. DOI: 10.7840/kics.2023.48.1.74.

[ACM Style]

Dong Hyun Lim and Dea-woo Park. 2023. Artificial Intelligence CCTV Operation Model Applying Road Markers. The Journal of Korean Institute of Communications and Information Sciences, 48, 1, (2023), 74-80. DOI: 10.7840/kics.2023.48.1.74.

[KICS Style]

Dong Hyun Lim and Dea-woo Park, "Artificial Intelligence CCTV Operation Model Applying Road Markers," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 1, pp. 74-80, 1. 2023. (https://doi.org/10.7840/kics.2023.48.1.74)
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eISSN : 2287 - 3880