title
  

Eye feature point tracking by using graphical models

Warning The system is temporarily closed to updates for reporting purpose.

Coşar, Serhan and Çetin, Müjdat (2007) Eye feature point tracking by using graphical models. In: IEEE Conference on Signal Processing and Communications Applications, Eskişehir, Turkey

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
331Kb

Official URL: http://dx.doi.org/10.1109/SIU.2007.4298738

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.

Item Type:Papers in Conference Proceedings
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:6543
Deposited By:Müjdat Çetin
Deposited On:29 Oct 2007 19:16
Last Modified:22 May 2019 12:08

Repository Staff Only: item control page