Development of Early Tunnel Fire Detection Algorithm Using the Image Processing

  • Dongil Han
  • Byoungmoo Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4292)


To avoid the large scale of damage of fire occurred in the tunnel, it is necessary to have a system to minimize and to discover the incident fast. However it is impossible to keep the human observation of CCTV in tunnel for 24 hour. So if the fire and smoke detection system through image processing warn fire state, it can be very convenient, and it can be possible to minimize damage even when people is not in front of monitor. In this paper, we proposed algorithm using the image processing, which is an early detection of the fire and smoke occurrence in the tunnel. The fire and smoke detection is different from the forest fire detection as there are elements such as car and tunnel lights and others that are different from the forest environment so that an indigenous algorithm has to be developed. The two algorithms proposed in this paper, are able to detect the exact position, at the earlier stay of detection. In addition, by comparing properties of each algorithm throughout experiment, we have proved the propriety of algorithm.


Detection Algorithm Input Image Binary Image Color Information Difference Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Dongil Han
    • 1
  • Byoungmoo Lee
    • 1
  1. 1.Dept. of Computer EngineeringSejong UniversitySeoulKorea

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