Non-intrusive eye gaze estimation without knowledge of eye pose

Authors:
Dong Hyun Yoo;Myung Jin Chung
Affiliations:
Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea;Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea
Venue:
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Year:
2004

Citing 3
Cited 8

Direct Least Square Fitting of Ellipses

IEEE Transactions on Pattern Analysis and Machine Intelligence
FreeGaze: a gaze tracking system for everyday gaze interaction

ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
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

Is a 3-D image necessary to determine eye gaze?

Journal of Computing Sciences in Colleges
Models for gaze tracking systems

Journal on Image and Video Processing
Models for gaze tracking systems

Journal on Image and Video Processing
A robust gaze detection method by compensating for facial movements based on corneal specularities

Pattern Recognition Letters
Robust gaze estimation for human computer interaction

PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Gaze-tracking-based audio-visual correlation analysis employing quality of experience methodology

Intelligent Decision Technologies
Eyes location using a neural network

ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Gaze estimation from low resolution images

PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Eye gaze estimation is to detect the eye gaze of human. By detection of the eye gaze, a machine can read the intention. Eye gaze is very useful to read human intention. In this paper, a new eye gaze estimation method is suggested. The method allows large head movement without knowledge of eye pose. Also, feature detection is very important to achieve good performance. However, pupil detection is difficult because pupil color is similar to iris color. This paper proposes a robust feature detection method. This eye gaze estimation method is powerful, and it can work in real-time.