• DocumentCode
    2992775
  • Title

    Nighttime Video Smoke Detection Based on Active Infrared Video Image

  • Author

    YunChang, Liu ; Chunyu, Yu ; Yongming, Zhang

  • Author_Institution
    State Key Lab. of Fire Sci., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    1359
  • Lastpage
    1362
  • Abstract
    Compared with traditional methods, video smoke detection has many advantages, such as fast response, noncontact and so forth. For the sake of detecting smoke in the nighttime with 0 lux around, the paper presents a smoke recognition method based on active infrared CCD video image. Experimental results show that it can well recognize smoke to reach the aim of smoke-detection in the nighttime, by extracting the feature that smoke reveals while the plume of smoke upwards, analyzing feature values, studying smoke recognition methods and comparing with the interferences.
  • Keywords
    CCD image sensors; image recognition; infrared imaging; smoke detectors; video signal processing; active infrared CCD video image; nighttime video smoke detection; smoke plume; smoke recognition method; Cameras; Feature extraction; Fires; Image recognition; Interference; Noise measurement; Pixel; MCR; active infrared camera; feature analysis; nighttime video smoke detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.337
  • Filename
    5630509