The use of eye movements in human-computer interaction techniques: what you look at is what you get
ACM Transactions on Information Systems (TOIS) - Special issue on computer—human interaction
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Just blink your eyes: a head-free gaze tracking system
CHI '03 Extended Abstracts on Human Factors in Computing Systems
3-D Facial Pose and Gaze Point Estimation Using a Robust Real-Time Tracking Paradigm
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
An Algorithm for Real-Time Stereo Vision Implementation of Head Pose and Gaze Direction Measurement
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Appearance-based Eye Gaze Estimation
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Non-Intrusive Gaze Tracking Using Artificial Neural Networks
Non-Intrusive Gaze Tracking Using Artificial Neural Networks
Journal of Cognitive Neuroscience
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We propose a method of 3-D gaze estimation allowing the head motion under an uncalibrated monocular camera system. The paper describes the eyeball structure model with compact descriptions of the eyeball motion and its static 3-D structure. Assuming that the eyeball motion is independent of the head motion, we present a dynamic converging-connected model to make the gaze estimation allowing the head motion more systematic and simple. The gaze estimation is performed through the extended Kalman filter using the eyeball structure model and the dynamic converging-connected model. The preliminary test suggests satisfactory results.