• DocumentCode
    3426726
  • Title

    Video Motion for Every Visible Point

  • Author

    Ricco, Susanna ; Tomasi, Carlo

  • fYear
    2013
  • fDate
    1-8 Dec. 2013
  • Firstpage
    2464
  • Lastpage
    2471
  • Abstract
    Dense motion of image points over many video frames can provide important information about the world. However, occlusions and drift make it impossible to compute long motion paths by merely concatenating optical flow vectors between consecutive frames. Instead, we solve for entire paths directly, and flag the frames in which each is visible. As in previous work, we anchor each path to a unique pixel which guarantees an even spatial distribution of paths. Unlike earlier methods, we allow paths to be anchored in any frame. By explicitly requiring that at least one visible path passes within a small neighborhood of every pixel, we guarantee complete coverage of all visible points in all frames. We achieve state-of-the-art results on real sequences including both rigid and non-rigid motions with significant occlusions.
  • Keywords
    image motion analysis; image sequences; video signal processing; consecutive frames; drift; frame flagging; image point dense motion; motion path; nonrigid motion; occlusions; optical flow vectors; path spatial distribution; pixel neighborhood; real sequence; rigid motion; video frames; video motion; Estimation; Motion estimation; Optical imaging; Optimization; Subspace constraints; Tracking; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision (ICCV), 2013 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    1550-5499
  • Type

    conf

  • DOI
    10.1109/ICCV.2013.306
  • Filename
    6751417