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Proceedings Paper

A robust eye position tracker based on invariant local features, eye motion, and infrared-eye responses
Author(s): Riad I. Hammoud
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Paper Abstract

Despite the effort made in the eye tracking community, the eye position tracking problem remains unsolved completely, due to the large variations in the eye appearance. This paper describes a multi-modal eye position tracker in dark/bright pupil image sequences. The tracking algorithm consists of detecting meaningful particles that correspond to IR-Pupil responses and eye motion, altering of particles through appearance models in the local invariant descriptor space, and matching of eye neighbors. Experimental validations have shown satisfactory performance in term of precision of eye position estimation, and robustness to 2D head rotations, translations, closed eye states, and reasonable out-of-plane rotations.

Paper Details

Date Published: 19 May 2005
PDF: 9 pages
Proc. SPIE 5807, Automatic Target Recognition XV, (19 May 2005); doi: 10.1117/12.606117
Show Author Affiliations
Riad I. Hammoud, Delphi Electronics and Safety (United States)
Rensselaer Polytechnic Institute (United States)
Indiana Univ. (United States)


Published in SPIE Proceedings Vol. 5807:
Automatic Target Recognition XV
Firooz A. Sadjadi, Editor(s)

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