• DocumentCode
    2715904
  • Title

    Locally Orderless Tracking

  • Author

    Oron, Shaul ; Bar-Hillel, Aharon ; Levi, Dan ; Avidan, Shai

  • Author_Institution
    Tel Aviv Univ., Tel Aviv, Israel
  • fYear
    2012
  • fDate
    16-21 June 2012
  • Firstpage
    1940
  • Lastpage
    1947
  • Abstract
    Locally Orderless Tracking (LOT) is a visual tracking algorithm that automatically estimates the amount of local (dis)order in the object. This lets the tracker specialize in both rigid and deformable objects on-line and with no prior assumptions. We provide a probabilistic model of the object variations over time. The model is implemented using the Earth Mover´s Distance (EMD) with two parameters that control the cost of moving pixels and changing their color. We adjust these costs on-line during tracking to account for the amount of local (dis)order in the object. We show LOT´s tracking capabilities on challenging video sequences, both commonly used and new, demonstrating performance comparable to state-of-the-art methods.
  • Keywords
    distance measurement; image colour analysis; image sequences; object tracking; statistical distributions; video signal processing; Earth mover distance; LOT; color changing; cost control; locally orderless tracking; probabilistic model; video sequences; visual tracking algorithm; Maximum likelihood estimation; Noise; Optimization; Probabilistic logic; Target tracking; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4673-1226-4
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2012.6247895
  • Filename
    6247895