• DocumentCode
    706179
  • Title

    Fire and smoke detection without sensors: Image processing based approach

  • Author

    Celik, Turgay ; Ozkaramanli, Huseyin ; Demirel, Hasan

  • Author_Institution
    Electr. & Electron. Eng., Eastern Mediterranean Univ., Mersin, Turkey
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    1794
  • Lastpage
    1798
  • Abstract
    In this paper, novel models for fire and smoke detection using image processing is provided. The models use different colour models for both fire and smoke. The colour models are extracted using a statistical analysis of samples extracted from different type of video sequences and images. The extracted models can be used in complete fire/smoke detection system which combines colour information with motion analysis.
  • Keywords
    image processing; smoke detectors; colour information; fire detection; image processing based approach; motion analysis; smoke detection; video sequences; Europe; Fires; Fuzzy logic; Hidden Markov models; Image color analysis; Signal processing; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2007 15th European
  • Conference_Location
    Poznan
  • Print_ISBN
    978-839-2134-04-6
  • Type

    conf

  • Filename
    7099116