• DocumentCode
    2050680
  • Title

    Research on wireless video encoding algorithm for underground based on background registration and motion segmentation

  • Author

    Tian Hongxian ; Yang Wei

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
  • fYear
    2011
  • fDate
    27-30 Nov. 2011
  • Firstpage
    229
  • Lastpage
    233
  • Abstract
    Regarding to the specialty that the background picture keeps unchangeable with perspective motion objects varying for wireless video monitoring of underground mines, the motion segmentation encoding based on background registration algorithm is brought forward in this article. In this motion segmentation algorithm, each frame for wireless underground video encoding is segmented by motion objects and background, then, they are processed and transmitted according to separated algorithm regulations. Furthermore, because of low illumination and image blurring, the image enhanced algorithm is integrated into the encoding process to enhance the main motion objects to improve the subject quality. At last, the real time transmitted motion object and local saved background image is integrated together to show on the terminal monitoring screen. By this algorithm, the complexity of video encoding and code rate is reduced with high definition video sequences.
  • Keywords
    image enhancement; image motion analysis; image segmentation; image sequences; mining; radio applications; video coding; background registration algorithm; high definition video sequences; image blurring; image enhanced algorithm; local saved background image; low illumination; motion segmentation encoding; perspective motion objects; real time transmitted motion object; terminal monitoring screen; underground mines; wireless video encoding algorithm; background registration; mine Underground; motion segmentation; video Encoding;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless, Mobile & Multimedia Networks (ICWMMN 2011), 4th IET International Conference on
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-507-2
  • Type

    conf

  • DOI
    10.1049/cp.2011.0995
  • Filename
    6197862