• DocumentCode
    3625934
  • Title

    Eye Feature Point Tracking by Using Graphical Models

  • Author

    Serhan Cosar;Mujdat Certin

  • Author_Institution
    M?hendislik ve Do?a Bilimleri Fak?ltesi, Sabanci ?niversitesi, Tuzla/?STANBUL. serhancosar@su.sabanciuniv.edu
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, a statistical method for eye feature point tracking is proposed. The aim is to track feature points even when the observed data are uncertain because of noise and/or occlusion. With this motivation, a graphical model that uses the spatial information as well as the temporal information between points is built. The proposed method is applied on 2D grayscale real video sequences as a real data application.
  • Keywords
    Graphical models
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
  • ISSN
    2165-0608
  • Print_ISBN
    1-4244-0719-2
  • Type

    conf

  • DOI
    10.1109/SIU.2007.4298738
  • Filename
    4298738
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3625934