Gaze tracking is a promising research area with application that goes from advanced human machine interaction systems, to human attention processes studying, modeling and use in cognitive vision fields. In this paper we propose a novel approach for the calibration and use of a head mounted dual eye gaze tracker. Key aspects are a robust pupil tracking algorithm based on prediction from infrared LED purkinje image position, and a new gaze localization method based on trifocal geometry considerations.
展开▼
