• DocumentCode
    1684385
  • Title

    Real Time Foreground-Background Segmentation Using a Modified Codebook Model

  • Author

    Ilyas, Atif ; Scuturici, Mihaela ; Miguet, Serge

  • Author_Institution
    CNRS, Univ. de Lyon, Bron, France
  • fYear
    2009
  • Firstpage
    454
  • Lastpage
    459
  • Abstract
    Real time segmentation of scene into objects and background is really important and represents an initial step of object tracking. Starting from the codebook method we propose some modifications which show significant improvements in most of the normal and also difficult conditions. We include parameter of frequency for accessing, deleting, matching and adding codewords in codebook or to move cache codewords into codebook. We also propose an evaluation method in order to objectively compare several segmentation techniques, based on receiver operating characteristic (ROC) analysis and on precision and recall method. We propose to summarize the quality factor of a method by a single value based on a weighted Euclidean distance or on a harmonic mean between two related characteristics.
  • Keywords
    image coding; image segmentation; optical tracking; Euclidean distance; ROC analysis; cache codeword; codebook model; codeword accessing; codeword deleting; codeword matching; frequency parameter; object tracking; precision-and-recall method; quality factor; real time foreground-background segmentation; receiver operating characteristic analysis; scene segmentation; Cameras; Computer vision; Euclidean distance; Focusing; Frequency; Gaussian processes; Image segmentation; Layout; Q factor; Surveillance; Segmentation; codebook; mixture of gaussions; modified codebook;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Video and Signal Based Surveillance, 2009. AVSS '09. Sixth IEEE International Conference on
  • Conference_Location
    Genova
  • Print_ISBN
    978-1-4244-4755-8
  • Electronic_ISBN
    978-0-7695-3718-4
  • Type

    conf

  • DOI
    10.1109/AVSS.2009.85
  • Filename
    5279646