A Precise Eye-Gaze Detection and Tracking System

This paper describes a real-time contact-free eye-gaze tracking system that bases its accuracy in a very precise estimation of the pupil centre. The eye camera follows the head movements maintaining the pupil centred in the image. When a tracking error is produced, the image from a camera with a wider field of view is used to locate the eye and quickly recover the tracking process. Four infrared light sources, synchronised with the shutter of the eye camera, are used to produce corneal glints. Its special shape has been exploited to allow the optimisation of the image processing algorithms developed for this system. Special care has been taken in limiting the illumination power and working way below the dangerous levels. After a calibration procedure, the line of gaze is determined by using the pupil-glint vector. The glints are validated using the iris outline with the purpose of avoiding the glint distortion due to the changes in the curvature on the ocular globe. The proposed algorithms determine the pupil centre with sub-pixel resolution, minimising the measurement error in the pupil-glint vector.

[1]  Yoshinobu Ebisawa Improved video-based eye-gaze detection method , 1998, IEEE Trans. Instrum. Meas..

[2]  Paul A. Beardsley,et al.  A qualitative approach to classifying gaze direction , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[3]  Mubarak Shah,et al.  Monitoring head/eye motion for driver alertness with one camera , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[4]  George C. Stockman,et al.  Menu Selection by Facial Aspect , 1999 .

[5]  Nikolaos Papanikolopoulos,et al.  ADVANCES IN VISION-BASED DETECTION OF DRIVER FATIGUE , 1999 .

[6]  Robert Mariani,et al.  Face Learning Using a Sequence of Images , 2000, Int. J. Pattern Recognit. Artif. Intell..

[7]  Jin Liu,et al.  Eye and gaze tracking for visually controlled interactive stereoscopic displays , 1999, Signal Process. Image Commun..

[8]  Carlos Hitoshi Morimoto,et al.  Pupil detection and tracking using multiple light sources , 2000, Image Vis. Comput..

[9]  R. S. Ramakrishna,et al.  Vision-based eye-gaze tracking for human computer interface , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).