• DocumentCode
    2906265
  • Title

    A Method for Detecting Miners in Underground Coal Mine Videos

  • Author

    Cai, Limei ; Qian, Jiansheng

  • Author_Institution
    Sch. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    127
  • Lastpage
    130
  • Abstract
    Detecting miners in underground coal mine videos is significant for the production safety. But, the miners are very similar to the background in underground coal mine videos, it is difficult to detect. In this paper, we proposed a method to detect miners by detecting their helmets. The helmet is round or resembles a round from different angles to observe. The operations include background subtraction, denoising, erosion, region growing, circle detecting, and tracking. The method has been tested on the real underground coal mine videos. The experimental results show that the miners can be detected accurately even though they can not be seen clearly.
  • Keywords
    coal; image denoising; mining; object detection; occupational safety; safety devices; video signal processing; helmet; image denoising; miner detection; production safety; underground coal mine videos; Computational intelligence; Humans; Lighting; Monitoring; Motion detection; Product safety; Production; Testing; Videos; Winches; miner detection; moving detection; underground coal mine video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-0-7695-3865-5
  • Type

    conf

  • DOI
    10.1109/ISCID.2009.180
  • Filename
    5368795