Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

Development of Fire Detection Algorithm for Video Incident Detection System of Double Deck Tunnel

복층터널 영상유고감지시스템의 화재 감지 알고리즘 개발

  • Kim, Tae-Bok (R&D Center, Voim Information Technologies Co., Ltd)
  • Received : 2019.06.24
  • Accepted : 2019.08.10
  • Published : 2019.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Video Incident Detection System is a detection system for the purpose of detection of an emergency in an unexpected situation such as a pedestrian in a tunnel, a falling object, a stationary vehicle, a reverse run, and a fire(smoke and flame). In recent years, the importance of the city center has been emphasized by the construction of underpasses in great depth underground space. Therefore, in order to apply Video Incident Detection System to a Double Deck Tunnel, it was developed to reflect the design characteristics of the Double Deck Tunnel. and In this paper especially, the fire detection technology, which is not it is difficult to apply to the Double Deck Tunnel environment because it is not supported on existing Video Incident Detection System or has a fail detect, we propose fire detection using color image analysis, silhouette spread, and statistical properties, It is verified through a real fire test in a double deck tunnel test bed environment.

영상유고감지시스템은 터널 내 보행자, 낙하물, 정지 차량, 역주행, 화재(화염 및 연기) 등 돌발상황 시에 초동 감지 목적의 시스템으로 최근 도심지의 대심도 지하도로 건설에 따라 중요성이 부각되고 있다. 그러므로 영상유고감지시스템을 대심도 복층터널에 적용하기 위하여 복층터널의 설계 특성을 반영하여 개발하였고, 본 논문에서는 특히 기존 영상유고감지시스템에서는 지원되지 않거나 또는 오감지가 많아 복층터널 환경에 그대로 적용하기 어려웠던 화재 감지를 색 영상 분포, 실루엣 확산 및 통계적 특성 분석을 복합적으로 사용하는 방법을 제안하고, 이를 복층터널 테스트베드 환경에서 차량 실물화재 실험을 통하여 검증하였다.

Keywords

References

  1. H. S. Lee, S. H. Jeong, J. W. Lee, "Vision-Based Fast Detection System for Tunnel Incidents", J.Korean Institute of ITS, vol. 9, no. 1, January 2010
  2. T. B. Kim, "The National Highway, Expressway Tunnel Video Incident Detection System performance analysis and reflect attributes for double deck tunnel in great depth underground space", J. Korea Inst. Inf. Commun. Eng., vol. 20, no. 7 : 1325-1334 Jul, 2016 https://doi.org/10.6109/jkiice.2016.20.7.1325
  3. J. S. Park, D. J. Kim, S. Y. Choi, Y. S. Lee, "Development of Flame and Smoke Detection for Early Fire Recognition", J. of Korea Institute of Fire Sci. & Eng. vol. 22, no. 4, 2008
  4. H. J. Park, S. Y Choi, "Fire detection apparatus and method, and recording medium which are robust against illumination and surrounding environment resulting from color image", Patent registration 10-2005-0052440
  5. K. L. Cho, S. H. Bae, "A Fire Detection Using Color and Movement of Flames", J. Korea Multimedia Society, vol. 17, no. 1, Jan 2014
  6. KongJu National University, W. H. Kim, "Fire detection system and method using analysis of color and spatiotemporal characteristics of color image", Patent registration 10-2013-0121344
  7. H. J. Park, J. S. Park, " Fire detection method", Patent registration 10-1204259
  8. D. K. Kim, C. J. Hwang, "Change Area Detection using Color and Edge Gradient Covariance Features", J.Korea Academia-Industrial cooperation Society, vol.17, no.1 pp. 717-724, 2016
  9. B. J. Baek, J. Y. Min, S. Namkoong, S. H. Yoon, "An In-Tunnel Traffic Accident Detection Algorithm using CCTV Image Processing", J.Software & Data Eng. vol.4, no.2 April 2015
  10. S. M. Kang, J. M. Kim, "Survey for Early Detection Techniques of Smoke and Flame using Camera Images", J.Korea Society of Computer & Information, vol. 16, no. 2 April 2011
  11. D. K. Shon, C. H. Kim, J. M. Kim, "An Implementation of a Video-Equipped Real-Time Fire Detection Algorithm Using GPGPU", J.Korea Society of Computer and Information, vol.19, no.8, August 2014
  12. KISA, "Intelligent CCTV Performance Test Guide", KISAWP-2014-0019