• DocumentCode
    2099318
  • Title

    Dynamic features and color feature based fire smoke detection

  • Author

    Zhai Wenpeng ; Wu Aiguo ; Du Chunyan

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    3052
  • Lastpage
    3055
  • Abstract
    In the large space, especially outdoor high-speed airflow occasions, early fire smoke detection is a problem all over the world for a long time. Traditional smoke detectors do not meet the requirements. A smoke detection method based on smoke dynamics feature and color feature is proposed. Experimental results show that the method efficiently detect the early fire smoke and reduce the false alarms of the fire surveillance system.
  • Keywords
    feature extraction; image colour analysis; smoke detectors; video surveillance; fire smoke detection; fire surveillance system; smoke color feature; smoke detectors; smoke dynamics feature; Color; Dynamics; Electronic mail; Feature extraction; Fires; Manganese; Motion segmentation; Color Features; Dynamic Features; Segmentation of Motion; Smoke;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5573126