• DocumentCode
    152625
  • Title

    Real-time wildfire smoke detection on moving camera

  • Author

    Arslan, Ismail ; Alkar, Ali Ziya

  • Author_Institution
    Elektr. ve Elektron. Muhendisligi Bolumu, Hacettepe Univ., Ankara, Turkey
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    1203
  • Lastpage
    1206
  • Abstract
    Early detection of forest fires has a huge importance in terms of the forest protection. In previous studies, wildfires detected with the help of fixed camera and computer. The camera used only monitors a specific region, for the rest of this region either an another camera is used or it just cannot be monitored. In this paper, we propose an approach that can monitor the whole 360o field using only a single camera for the early detection of a potential wildfire by detecting presence of smoke. In this work, motion information of the camera is calculated from the frames that are recevied from the camera. By using this movement information, a fixed background image is obtained and updated at certain time periods. Using this background image, the current images are examined and possible occurences of smoke in the video is detected and presented in this paper.
  • Keywords
    computerised monitoring; forestry; image motion analysis; object detection; smoke detectors; video cameras; wildfires; camera motion information calculation; early forest fire detection; forest protection; image processing; moving camera; real-time wildfire smoke detection; region monitoring; video processing; Cameras; Conferences; Correlation; Fires; Monitoring; Real-time systems; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830451
  • Filename
    6830451