CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Dual-State Parametric Eye Tracking
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
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
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Non-Contact Eye Gaze Tracking System by Mapping of Corneal Reflections
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Gaze Manipulation for One-to-one Teleconferencing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Eye Gaze Estimation from a Single Image of One Eye
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Eye Gaze Tracking under Natural Head Movements
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A single camera eye-gaze tracking system with free head motion
Proceedings of the 2006 symposium on Eye tracking research & applications
A General Framework For Tracking People
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Visual Direction Estimation from a Monocular Image
IEICE - Transactions on Information and Systems
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Determining driver visual attention with one camera
IEEE Transactions on Intelligent Transportation Systems
Radial symmetry guided particle filter for robust iris tracking
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Automatic acquisition of a 3D eye model for a wearable first-person vision device
Proceedings of the Symposium on Eye Tracking Research and Applications
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This paper describes a sophisticated method to track iris contour and to estimate eye gaze for blinking eyes with a monocular camera. A 3D eye-model that consists of eyeballs, iris contours and eyelids is designed that describes the geometrical properties and the movements of eyes. Both the iris contours and the eyelid contours are tracked by using this eye-model and a particle filter. This algorithm is able to detect "pure" iris contours because it can distinguish iris contours from eyelids contours. The eye gaze is described by the movement parameters of the 3D eye model, which are estimated by the particle filter during tracking. Other distinctive features of this algorithm are: 1) it does not require any special light sources (e.g. an infrared illuminator) and 2) it can operate at video rate. Through extensive experiments on real video sequences we confirmed the robustness and the effectiveness of our method.