Article

Single camera remote eye gaze tracking under natural head movements

Authors:

Ruian Liu,

Shijiu Jin,

Xiaorong WuAuthors Info & Claims

ICAT'06: Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence

Pages 614 - 623

https://doi.org/10.1007/11941354_63

Published: 29 November 2006 Publication History

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Abstract

Most available gaze tracking systems based on corneal reflection have low tolerance for head movements. In this paper, an eye-gaze tracking method, which can make this system be adaptive to external lighting changes and to the user’s head movements, is put forward to alleviate the restriction on the user’s head motion. We manage to improve the performance of the algorithm: The thresholds for extraction of the pupil and the corneal reflection are automated; the edge points of the pupil could be obtained by a 1D line search. To improve the resolution and accuracy of the system, the sub-pixel technique is used to locate the feature position accurately in the eye image. We apply a new randomized method of ellipse fitting to the edge points for good results. Our system can work under natural head movements by using only one camera to track eye-gaze. It can run in real time at video rate (25frames/second). A gaze accuracy of 1 degree is observed.

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Cited By

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Ishac KRozado DLeong T(2014)Low cost human-robot gaze estimation systemProceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures: the Future of Design10.1145/2686612.2686674(404-413)Online publication date: 2-Dec-2014
https://dl.acm.org/doi/10.1145/2686612.2686674

Single camera remote eye gaze tracking under natural head movements
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

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Published In

ICAT'06: Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence

November 2006

1346 pages

ISBN:3540497765

Editors:
Zhigeng Pan
State Key Lab of CAD and CG, Zhejiang University, Hangzhou, P.R. China
,
Adrian Cheok
Mixed Reality Lab, National University of Singapore, Hangzhou, Singapore
,
Michael Haller
Mixed Reality Lab, Upper Austria University of Applied Science and Digital Media, Hagenberg, Austria
,
Rynson H. Lau
Department of Computer Science, University of Durham, South Road, Durham, UK
,
Hideo Saito
Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi Kohoku-ku, Yokohama, Japan

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 29 November 2006

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Ishac KRozado DLeong T(2014)Low cost human-robot gaze estimation systemProceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures: the Future of Design10.1145/2686612.2686674(404-413)Online publication date: 2-Dec-2014
https://dl.acm.org/doi/10.1145/2686612.2686674

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Eye Gaze Tracking under Natural Head Movements

Eye gaze tracking with free head movements using a single camera

A pivotable head mounted camera system that is aligned by three-dimensional eye movements

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