• DocumentCode
    595232
  • Title

    Video figure ground labeling

  • Author

    Elqursh, Ali ; Elgammal, Ahmed

  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    2472
  • Lastpage
    2475
  • Abstract
    Figure-ground labeling is a classical problem in computer vision in which the goal is to label different parts of the visual input as figural or background. Yet most existing approaches focuses on single image figure-ground labeling with little emphasis on video. We present a method which integrates several cues to achieve figure-ground labeling on video sequences. The method is evaluated on challenging video sequences.
  • Keywords
    computer vision; image sequences; video signal processing; computer vision; single image figure-ground labeling; video figure ground labeling; video sequences; Feature extraction; Image color analysis; Image segmentation; Labeling; Legged locomotion; Motion segmentation; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460668