• DocumentCode
    3317622
  • Title

    Forest fire detection based on video multi-feature fusion

  • Author

    Jie, Li ; Jiang, Xiao

  • Author_Institution
    Sch. of Technol., Beijing Forestry Univ., Beijing, China
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    19
  • Lastpage
    22
  • Abstract
    In the light of the problem of monitoring forest fire, the design strategy and practical implementation of establishing the monitor system based on digital image information are proposed. The system is based on the CCD configuration characteristics and color information to detect and locate fire. Manned lookout posts are commonly installed in the forests all around the world. In this project, a system capable of producing automatic fire alarms will be developed. It will be also possible to approximately determine the location of the fire and monitor the forest fires using wireless communications systems. The aim of the proposed system is to reduce the average fire detection rate and reduce the number of guards. This approach will reduce false alarms due to natural events. The experimental results show that it can effectively identify fire.
  • Keywords
    image colour analysis; object detection; radiocommunication; video signal processing; video surveillance; CCD configuration characteristics; automatic fire alarms; color information; digital image information; forest fire detection; forest fire monitoring; manned lookout posts; video multifeature fusion; wireless communications systems; Cameras; Computerized monitoring; Digital images; Fires; Forestry; Image processing; Power system reliability; Remote monitoring; Smoke detectors; Technology forecasting; computer vision; fire character; fire detection; forest fire detection; image process; image segmentation; sample;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234862
  • Filename
    5234862