• Title/Summary/Keyword: Double Deck Tunnel Video Incident Detection System

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The National Highway, Expressway Tunnel Video Incident Detection System performance analysis and reflect attributes for double deck tunnel in great depth underground space (국도, 고속국도 터널 영상유고감지시스템 성능분석 및 대심도 복층터널 특성반영 방안)

  • Kim, Tae-Bok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.7
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    • pp.1325-1334
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    • 2016
  • The video incident detection System is a probe for rapid detecting the walker, falling, stopped, backwards, smoke situation in tunnel. Recently, the importance is increases from the downtown double deck tunnel in great depth underground space[1], but the legal basis is weak and the vulnerable situation experimental data. So, In this paper, we introduce a long-term log data analysis information in the tunnenl video incident detection system installed and experimental results in order to verify the feasibility of apply to video incident detection system for the double deck tunnel. It is proposed a few things about derives the problem of existing video incident detection system, improvements and reflect attributes for double deck tunnel. The contents described in this paper will contribute to refine the prototype of video incident detection system will apply to future double deck multi-layer tunnels.

Development of Fire Detection Algorithm for Video Incident Detection System of Double Deck Tunnel (복층터널 영상유고감지시스템의 화재 감지 알고리즘 개발)

  • Kim, Tae-Bok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.9
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    • pp.1082-1087
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    • 2019
  • 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.