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A model to secure storage space for CCTV video files using YOLO v3

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(1), pp.65-70
  • DOI : 10.9708/jksci.2023.28.01.065
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : November 21, 2022
  • Accepted : January 5, 2023
  • Published : January 31, 2023

Kim Seong-Ik 1

1유원대학교

Accredited

ABSTRACT

In this paper, we propose a CCTV storage space securing model using YOLO v3. CCTV is installed and operated in various parts of society for disasters, disasters and safety such as crime prevention, fire prevention, and monitoring, and the number of CCTV is increasing and the quality of the video quality is improving. Due to this, as the number and size of image files increase, it is difficult to cope with the existing storage space. In order to solve this problem, we propose a model that detects specific objects in CCTV images using YOLO v3 library and deletes unnecessary frames by saving only the corresponding frames, thereby securing storage space by reducing the size of the image file, and thereby Periodic images can be stored and managed. After applying the proposed model, it was confirmed that the average image file size was reduced by 94.9%, and it was confirmed that the storage period was increased by about 20 times compared to before the application of the proposed model.

Citation status

* References for papers published after 2023 are currently being built.