Eye feature point tracking by using graphical models

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

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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
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Müjdat Çetin
Date Deposited: 29 Oct 2007 19:16
Last Modified: 26 Apr 2022 08:43
URI: https://research.sabanciuniv.edu/id/eprint/6543

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