IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Based Recognition of Graze Direction Using Adaptive Methods
Proceedings of the International Gesture Workshop on Gesture and Sign Language in Human-Computer Interaction
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
Gaze Estimation Using Morphable Models
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Real-Time Stereo Tracking for Head Pose and Gaze Estimation
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
Gaze Detection via Self-Organizing Gray-Scale Units
RATFG-RTS '99 Proceedings of the International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
Man-Machine Interface Through Eyeball Direction of Gaze
SSST '97 Proceedings of the 29th Southeastern Symposium on System Theory (SSST '97)
Robust real-time face tracking and gesture recognition
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Robust gaze estimation for human computer interaction
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
A study on human gaze detection based on 3d eye model
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
A study on non-intrusive facial and eye gaze detection
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Practical gaze point computing method by 3d position estimation of facial and eye features
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Fake iris detection based on multiple wavelet filters and hierarchical SVM
ICISC'06 Proceedings of the 9th international conference on Information Security and Cryptology
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Gaze detection is to locate the position on a monitor screen where a user is looking. In our work, we implement it with a computer vision system setting a IR-LED based single camera. To detect the gaze position, we locate facial features, which is effectively performed with IR-LED based camera and SVM (Support Vector Machine). When a user gazes at a position of monitor, we can compute the 3D positions of those features based on 3D rotation and translation estimation and affine transform. Finally, the gaze position by the facial movements is computed from the normal vector of the plane determined by those computed 3D positions of features. In addition, we use a trained neural network to detect the gaze position by eye's movement. As experimental results, we can obtain the facial and eye gaze position on a monitor and the gaze position accuracy between the computed positions and the real ones is about 4.8 cm of RMS error.