DOI QR코드

DOI QR Code

Low-cost privacy protection integrated monitoring system using interest emphasis method

관심강조 방법을 활용한 저비용 사생활보호 통합관제시스템

  • Shin, Kwang-Seong (Department of Digital Contents Engineering, Wonkwang University) ;
  • Shin, Seong-Yoon (Department of Computer Information Engineering, Kunsan National University)
  • Received : 2020.11.15
  • Accepted : 2020.12.19
  • Published : 2021.02.28

Abstract

Recently, as the installation of a large number of high-performance CCTVs for crime prevention and traffic control has increased rapidly, the problem of increasing system requirements for response to privacy infringement factors and analysis of high-definition image information transmitted from multiple cameras has been actively emerging. Accordingly, there is a need for a method for responding to privacy infringement and a method for efficiently processing surveillance images input from multiple cameras. In this paper, in order to reduce the processing cost of the input image and improve the processing speed, an integrated image is generated by grouping images input from a plurality of cameras. After analyzing the pre-generated integrated video, it detects a preset privacy event or an event that highlights interest. Depending on whether or not an event is detected, you will perform an editing operation corresponding to the event.

최근 방범 및 교통관제를 위하여 다수의 고성능 CCTV의 설치가 급격히 늘어나면서, 사생활침해 요소에 대한 대응과 다수의 카메라로부터 전송되는 고화질 영상정보의 분석에 대한 시스템 요구 사항의 증가문제가 활발하게 대두되고 있다. 따라서 사생활침해에 대응하기 위한 방법과 다수의 카메라로부터 입력되는 감시영상을 효율적으로 처리하기 위한 방법들이 요구된다. 본 논문에서는 입력영상의 처리 비용을 줄이고 처리속도를 향상시키기 위해, 복수개의 카메라로부터 입력되는 영상을 그룹화하여 통합영상을 생성한다. 생성된 통합영상을 분석한 후 미리 설정된 이벤트들을 감지하고 이벤트의 감지여부에 따라 이벤트에 대응하는 편집 작업을 수행하게 된다.

Keywords

References

  1. K. S. Shin and S. Y. Shin, "Implementation of VideoForensic System for Extraction of Violent Scene in Elevator," Journal of the Korea Institute of Information and Communication Engineering, vol. 18, no. 10, pp. 2427-2432, 2014. https://doi.org/10.6109/jkiice.2014.18.10.2427
  2. S. H. Abdulhussain, A. R Ramli, M. I. Saripan, B. M. Mahmmod, S. A. R. Al-Haddad, and W. A Jassim, "Methods and challenges in shot boundary detection : a review," Entropy, vol. 20, no. 4, pp. 214, 2018. https://doi.org/10.3390/e20040214
  3. K. S. Jang, "A Study on Government Body's CCTV Monitoring and Privacy Protectio," Korea Public Land Law Association Public Land Law Review vol. 66, pp. 279-297, 2014.
  4. C. Norris and J. Moran, "Surveillance, closed circuit television and social control," Routledge, 2016.
  5. G. Liu, S. Liu, K. Muhammad, A. K. Sangaiah, and F. Doctor, "Object tracking in vary lighting conditions for fog based intelligent surveillance of public spaces," IEEE Access, no. 6, pp. 29283-29296, 2018.
  6. S. H. Lee, "Offline Object Tracking for Private Information Masking in CCTV Data," Journal of the Korea Institute of Information and Communication Engineering, vol. 18, no. 12, pp. 2961-2967, 2014. https://doi.org/10.6109/jkiice.2014.18.12.2961
  7. S. D. Cohen and W. Gregg, "Method for determining a border in a complex scene with applications to image masking," U.S. Patent 6,337,925. 8, 2002.
  8. R. Salomon, M. Schneider, and D. Wehden, "Low-cost optical indoor localization system for mobile objects without image processing," 2006 IEEE Conference on Emerging Technologies and Factory Automation. IEEE, 2006.
  9. S. Messelodi, C. M. Modena, V. Ropele, S. Marcon, and M. Sgro, "A Low-Cost Computer Vision System for Real-Time Tennis Analysis," in International Conference on Image Analysis and Processing, Springer, Cham, pp. 106-116, 2019.
  10. S. J. Yang, J. P. Park, and S. M. Yang, "Design and Implementation of IP Video Wall System for Large-scale Video Monitoring in Smart City Environments," Journal of the Korea Academia-Industrial cooperation Society, vol. 20, no. 9, pp. 7-13, 2019.