• DocumentCode
    1661237
  • Title

    Improvement and Realization of the Fire Recognition System

  • Author

    Jianjun, Liao ; Xiaotai, Niu ; Qiuping, Guo ; XiaoNing, Li

  • Author_Institution
    Zheng Zhou Inst. Of Aeronaut. Ind. Manage., Zheng Zhou, China
  • fYear
    2010
  • Firstpage
    506
  • Lastpage
    509
  • Abstract
    In order to improve the recognition rate of the early fire, this paper analyzed the relationship between the image resolution and fire recognition rate from the application point of view. On this basis, we have adopted the Dempster-Shafer evidence theory and carried on the recognition experiment to the different resolution fire image under different environmental conditions. The simulation experimental results have indicated that this method can obtain the basic consistent recognition effect regardless of the resolution of fire image is high or low, and can simultaneously give dual attention to the recognition rate and the recognition efficiency.
  • Keywords
    image recognition; image resolution; inference mechanisms; Dempster-Shafer evidence theory; fire recognition system; image resolution; recognition rate; Artificial neural networks; Feature extraction; Fires; Image recognition; Image resolution; Monitoring; Uncertainty; Dempster-Shafer Evidence Theory; Fire Recognition; Image Resolution; Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing (ISIP), 2010 Third International Symposium on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-8627-4
  • Type

    conf

  • DOI
    10.1109/ISIP.2010.139
  • Filename
    5669096