• DocumentCode
    1708206
  • Title

    Study of Fire Recognition System Based on Dmpster-Shafer Evidence Theory

  • Author

    Liao Jianjun ; Niu Xiaotai ; Guo Qiuping ; Li XiaoNing

  • Author_Institution
    Zhengzhou Inst. Of Aeronaut. Ind. Manage., Zhengzhou, China
  • fYear
    2010
  • Firstpage
    945
  • Lastpage
    948
  • 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 Dmpster-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
    disasters; fires; image recognition; image resolution; Dmpster-Shafer evidence theory; fire recognition system; image resolution; Artificial neural networks; Feature extraction; Fires; Image recognition; Image resolution; Monitoring; Uncertainty; Dmpster-Shafer Evidence Theory; Fire Recognition; Image Resolution; Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security (MINES), 2010 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4244-8626-7
  • Electronic_ISBN
    978-0-7695-4258-4
  • Type

    conf

  • DOI
    10.1109/MINES.2010.200
  • Filename
    5671198