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Eye gaze tracking with free head movements using a single camera

Published: 27 August 2010 Publication History

Abstract

The problem of eye gaze tracking has been researched and developed for a long time. The most difficult problem in the non-intrusive system of eye gaze tracking is the problem of head movements. Some of existing methods have to use two cameras and an active infrared (IR) illumination to solve this problem. Otherwise, with a single camera, the user has to hold the head uncomfortably still when performing a session of eye gaze tracking. If the head of the user moves away from original position, the accuracy of these eye gaze-tracking systems drops dramatically. In this paper, we propose a solution using Gaussian Processes for eye gaze tracking that allows free head movements with a single camera.

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cover image ACM Other conferences
SoICT '10: Proceedings of the 1st Symposium on Information and Communication Technology
August 2010
186 pages
ISBN:9781450301053
DOI:10.1145/1852611
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 August 2010

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Author Tags

  1. Gaussian process
  2. eye detecting
  3. eye gaze tracking

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SoICT '10

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Overall Acceptance Rate 147 of 318 submissions, 46%

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  • (2022)Novel eye-based features for head pose-free gaze estimation with web camera: New model and low-cost deviceAin Shams Engineering Journal10.1016/j.asej.2022.10173113:5(101731)Online publication date: Sep-2022
  • (2020)A Multi-Modal Gaze Tracking AlgorithmJournal of Circuits, Systems and Computers10.1142/S021812662150126730:07(2150126)Online publication date: 29-Oct-2020
  • (2016)Low Cost Eye TrackingComputational Intelligence and Neuroscience10.1155/2016/86805412016(17)Online publication date: 1-Mar-2016
  • (2016)Driver-Gaze Zone Estimation Using Bayesian Filtering and Gaussian ProcessesIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2016.252605017:10(2739-2750)Online publication date: 1-Oct-2016
  • (2015)Palpebrae superiorisProceedings of the 41st Graphics Interface Conference10.5555/2788890.2788938(273-280)Online publication date: 3-Jun-2015
  • (2014)Learning gaze biases with head motion for head pose-free gaze estimationImage and Vision Computing10.1016/j.imavis.2014.01.00532:3(169-179)Online publication date: 1-Mar-2014
  • (2013)Remote Eye Tracking SystemsProceedings of the 2013 26th Conference on Graphics, Patterns and Images Tutorials10.1109/SIBGRAPI-T.2013.8(15-22)Online publication date: 5-Aug-2013
  • (2012)Multi-Initialized States Referred Work Parameter Calibration for Gaze Tracking Human-Robot InteractionInternational Journal of Advanced Robotic Systems10.5772/508919:3Online publication date: 1-Jan-2012
  • (2011)RFID & vision based indoor positioning and identification system2011 IEEE 3rd International Conference on Communication Software and Networks10.1109/ICCSN.2011.6014945(506-510)Online publication date: May-2011

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