Iris tracking with feature free contours

IEEE International Workshop on Analysis and Modeling of Faces and Gestures, AMFG 2003

Volumn , Issue , 2003, Pages 208-214

  Hansen, Dan Witzner ^a   Pece, Arthur E C ^b  

^a IT UNIVERSITY OF COPENHAGEN   (Denmark)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE CONTOUR METHOD; CONTOUR MODELS; DEFOCUSING; EM ALGORITHMS; FEATURES DETECTIONS; GAZE-BASED INTERACTION; IRIS TRACKING; OFF-THE-SHELF HARDWARES; PARTICLE FILTERING; STATISTICAL DEPENDENCIES;

EID: 84992105307     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. K. Choo and D.J. Fleet. People tracking using hybrid Monte Carlo filtering. In International Conference on Computer Vision, pages II: 321-328, 2001.
2. G. Chow and X. Li. Vision-based eye-gaze tracking for human computer interface. IEEE International Conf. on Systems, Man, and Cybernetics, 1999.
3. J. Daugman. The importance of being random: statistical principles of iris recognition. Pattern Recognition, 36(2):279-291, February 2003.
4. J. Deutscher, A. Blake, and I.D. Reid. Articulated body motion capture by annealed particle filtering. In IEEE Computer Vision and Pattern Recognition (CVPR), pages II: 126-133, 2000.
5. Y. Ebisawa and S. Satoh. Effectiveness of pupil area detection technique using two light sources and image difference method. In 5th Annual Int. Conf. of the IEEE Eng. in Medicine and Biology Society, pages 1268-1269, 1993.
6. D. W. Hansen, J. P. Hansen, M. Nielsen, A. Sewerin Johansen, and M. B. Stegmann. Eye typing using Markov and active appearance models. In IEEE Workshop on Applications on Computer Vision, pages 132-136, 2002.
7. J. Huang and D. Mumford. Statistics of natural images and models. In IEEE Computer Vision and Pattern Recognition (CVPR), pages I: 541-547, 1999.
8. M. Isard and A. Blake. Icondensation: Unifying low-level and high-level tracking in a stochastic framework. In European Conference on Computer Vision, 1998.
9. Michael Isard and Andrew Blake. Contour tracking by stochastic propagation of conditional density. In European Conference on Computer Vision, pages 343-356, 1996.
10. Q. Ji and X. Yang. Real time visual cues extraction for monitoring driver vigilance. In International Workshop of Computer Vision Systems, 2001.
11. M. Kass, A.P. Witkin, and D. Terzopoulos. Snakes: Active contour models. In International Conference on Computer Vision, pages 259-268, 1987.
12. P. Li, T. Zhang, and A.E.C. Pece. Visual contour tracking based on particle filters. Image and Vision Computing, 21(1):111-123, 2003.
13. J.P. MacCormick and A. Blake. A probabilistic contour discriminant for object localisation. In International Conference on Computer Vision, pages 390-395, 1998.
14. J.P. MacCormick and M. Isard. Partitioned sampling, articulated objects, and interface-quality hand tracking. In European Conference on Computer Vision, 2000.
15. C.H. Morimoto, D. Koons, A. Amir, and M. Flickner. Pupil detection and tracking using multiple light sources. Image and Vision Computing, 18(4):331-335, March 2000.
16. M. Nixon. Eye spacing measurements for facial recognition. Applications of Digital Image Processing, 575(VIII):279-285, 1985.
17. A.E.C. Pece and A.D. Worrall. Tracking with the EM contour algorithm. In European Conference on Computer Vision, pages I: 3-17, 2002.
18. S. Sirohey, A. Rosenfeld, and Z. Duric. A method of detecting and tracking irises and eyelids in video. Pattern Recognition, 35(6):1389-1401, June 2002.
19. J. Sullivan and J. Rittscher. Guiding random particles by deterministic search. In International Conference on Computer Vision, pages I: 323-330, 2001.
20. P. Tissainayagam and D. Suter. Tracking multiple object contour with automatic motion model switching. In International Conference on Pattern Recognition, 2000.
21. A. Tomono, M. Iida, and Y. Kobayashi. A tv camera system which extracts feature points for non-contact eye movement detection. In SPIE Optics, Illumination, and Image Sensing for Machine Vision, volume 1194, pages 2 - 12, 1989.
22. X. Xie, R. Sudhakar, and H. Zhuang. A cascaded scheme for eye tracking and head movement compensation. IEEE Transactions on Systems, Man, and Cybernetics, A28:487-490, 1998.
23. David Young, Hilary Tunley, and Richard Samuels. Specialised hough transform and active contour methods for real-time eye tracking. Technical Report 386, School of Cognitive and Computing Sciences, University of Sussex, 1995.
24. A. L. Yuille, P. W. Hallinan, and D.S Cohen. Feature extraction from faces using deformable templates. International Journal of Computer Vision, 8(2):99-111, 1992.
25. A.L. Yuille and J.M. Coughlan. Fundamental limits of Bayesian inference: Order parameters and phase transitions for road tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(2):160-173, February 2000.
26. Z. Zhu, Q. Ji, and K. Fujimura. Combining kalman filtering and mean shift for real time eye tracking. In International Conference on Pattern Recognition, pages IV: 318-321, 2002.
27. Zhiwei Zhu, Kikuo Fujimura, and Qiang Ji. Real-time eye detection and tracking under various light conditions. In Symposium on ETRA 2002: Eye Tracking Research Applications Symposium, New Orleans, Louisiana, pages 139 - 144, 2002.