Computer Vision And Pattern Analysis Laboratory Home Page  Home
People  People
Publications  Publications
Publications  Databases
Contact Information  Contact
Supported Research Projects  Supported Research Projects
Research Activites  Research Activites
Research Groups
SPIS - Signal Processing and Information Systems Lab.SPIS - Signal Processing and Information Systems Lab.
Medical Vision and Analysis Group  Medical Research Activities
Biometrics Research Group  Biometrics Research Group
SPIS - Signal Processing and Information Systems Lab.MISAM - Machine Intelligence for Speech Audio and Multimedia.
Knowledge Base
  Paper Library
Eye Feature Point Tracking by Using Graphical Models (in Turkish)
Authors: Serhan Cosar, Müjdat Çetin
Published in: SIU2007 - IEEE Conference on Signal Processing and Communications Applications, Eskisehir, Turkey, June 2007
Publication year: 2007
Abstract: Turkish title: Grafiksel Model Yardimiyla Goz Oznitelik Noktalarinin Takibi

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 inforamtion as well as the temporal information between points is built. The proposed method is applied on 2D graysclae real video sequences as a real data application.
  download full paper

Home Back