@conference {11901,
	title = {A non-intrusive Kalman filter-based tracker for pursuit eye movement},
	booktitle = {American Control Conference, 2002. Proceedings of the 2002},
	volume = {2},
	year = {2002},
	month = {2002///},
	pages = {1443- 1447 vol.2 - 1443- 1447 vol.2},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {In this paper, we introduce a new non-intrusive approach to estimating the eye position during pursuit motion of the eye. We introduce a new characterization for the pursuit eye movement. Our characterization is based on the decomposition of the pursuit eye motion into a deterministic component and random component. We use a discrete Kalman filter to estimate the random component and calculate the deterministic component. We add the two components to obtain an estimate of the eye position. Simulation results are provided to illustrate the eye position estimation.},
	keywords = {Application software, characterization, Computer vision, Current measurement, deterministic component, Electric variables measurement, eye position estimation, eye tracking, gaze tracking, Human computer interaction, Kalman filter, Kalman filters, Lenses, Motion estimation, Optical reflection, pursuit eye movement, pursuit motion, random component, Skin, tracking},
	isbn = {0-7803-7298-0},
	doi = {10.1109/ACC.2002.1023224},
	url = {http://ieeexplore.ieee.org/ielx5/7965/22015/01023224.pdf?tp=\&arnumber=1023224\&isnumber=22015},
	author = {Abd-Almageed, Wael and Fadali,M. S and Bebis,G.}
}
