Browse > Article
http://dx.doi.org/10.6109/jkiice.2014.18.5.1162

Gaze Tracking Using a Modified Starburst Algorithm and Homography Normalization  

Cho, Tai-Hoon (Schoool of Computer Science and Engineering, Korea University of Technology and Education)
Kang, Hyun-Min (Schoool of Computer Science and Engineering, Korea University of Technology and Education)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.5, 2014 , pp. 1162-1170 More about this Journal
Abstract
In this paper, an accurate remote gaze tracking method with two cameras is presented using a modified Starburst algorithm and honography normalization. Starburst algorithm, which was originally developed for head-mounted systems, often fails in detecting accurate pupil centers in remote tracking systems with a larger field of view due to lots of noises. A region of interest area for pupil is found using template matching, and then only within this area Starburst algorithm is applied to yield pupil boundary candidate points. These are used in improved RANSAC ellipse fitting to produce the pupil center. For gaze estimation robust to head movement, an improved homography normalization using four LEDs and calibration based on high order polynomials is proposed. Finally, it is shown that accuracy and robustness of the system is improved using two cameras rather than one camera.
Keywords
Starburst algorithm; homography normalization; gaze tracking; pupil detection;
Citations & Related Records
연도 인용수 순위
  • Reference
1 D. Li, D. Winfield, D.J. Parkhurst, "Starburst: A hybrid algorithm for video-based eye tracking combining featurebased and model-based approaches," Proc. of the IEEE Vision for Human and Computer Interaction Workshop at CVPR 2005, pp.1-8, 2005.
2 D. W. Hansen, "In the Eye of the Beholder : A survey of Models for Eyes and Gaze," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 32, no. 3, pp. 478-500, 2010.   DOI   ScienceOn
3 Dongheng Li, "Low-cost eye-tracking for human computer interaction, " MS Thesis, Iowa State Univ., 2006.
4 http://www.eyetechds.com.
5 E.D. Guestrin and M. Eizenman, "General Theory of Remote Gaze Estimation Using the Pupil Center and Corneal Reflections," IEEE Transactions on Biomedical Engineering, vol. 53, no. 6, pp. 1124.1133, 2006.   DOI
6 D. W. Hansen, J. S. Agustin, A. Villanueva, "Homography Normalization for robust Gaze Estimation in Uncalibrated Setups," ETRA '10 Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, 2010.
7 R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed., Cambride University Press, 2003.
8 R. Jain, R. Kasturi, B. G. Schunck, Machine Vision, 1995.
9 T.-H. Cho, "Accurate camera calibration using high order polynomials," Korean Institue of Intelligent Systems 2007 Spring Conference Proceedings, vol. 17, no. 1, pp.413-416.