• DocumentCode
    3326078
  • Title

    Early Fire Disaster Features Research and Detection Method Design in Video Images

  • Author

    Chi Jianning ; Wu Chengdong ; Zhang Yunzhou

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2011
  • fDate
    16-18 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    According to the features of the changing color of fire flames, the periodically increasing of area and the irregular changing in the shape of fire when the early fire breaks, we take fire flame as a kind of special moving object and make a research of it. The color characteristics in fire video images as well as the morphological changes are discussed in this paper, a comprehensive analysis of all the criteria and the algorithm of detecting are proposed, and finally an early fire detection prototype system is designed. After testing, this system has a high accuracy with good robust and fast rapid.
  • Keywords
    disasters; fires; flames; image motion analysis; object detection; early fire disaster; fire flames; moving object detection; video images; Accuracy; Artificial neural networks; Feature extraction; Fires; Image color analysis; Pixel; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photonics and Optoelectronics (SOPO), 2011 Symposium on
  • Conference_Location
    Wuhan
  • ISSN
    2156-8464
  • Print_ISBN
    978-1-4244-6555-2
  • Type

    conf

  • DOI
    10.1109/SOPO.2011.5780496
  • Filename
    5780496