Fast and accurate algorithm for eye localisation for gaze tracking in low-resolution images

IET Computer Vision

Volumn 10, Issue 7, 2016, Pages 660-669

  George, Anjith ^a   Routray, Aurobinda ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

INTEGRATED CIRCUITS;

BOUNDARY TRACING; FAST AND ACCURATE ALGORITHMS; FAST CONVOLUTION; GEOMETRICAL CHARACTERISTICS; LOW RESOLUTION IMAGES; STATE-OF-THE-ART METHODS; TWO-STAGE ALGORITHM; VISION COMMUNITIES;

TRACKING (POSITION);

EID: 85014969828     PISSN: 17519632     EISSN: 17519640     Source Type: Journal    
DOI: 10.1049/iet-cvi.2015.0316     Document Type: Article

References (47)

1. Hansen, D.W., Ji, Q.: 'In the eye of the beholder: a survey of models for eyes and gaze', IEEE Trans. Pattern Anal. Mach. Intell., 2010, 32, (3), pp. 478-500
2. Paperno, E., Semyonov, D.: 'A new method for eye location tracking', IEEE Trans. Biomed. Eng., 2003, 50, (10), pp. 1174-1179
3. Zhu, Z., Ji, Q., Fujimura, K. et al.: 'Combining Kalman filtering and mean shift for real time eye tracking under active IR illumination'. 16th Int. Conf. on Pattern Recognition, 2002. Proc., 2002, vol. 4, pp. 318-321
4. Markuš, N., Frljak, M., Pandžic, I.S. et al.: 'Eye pupil localization with an ensemble of randomized trees', Pattern Recognit., 2014, 47, (2), pp. 578-587
5. Illingworth, J., Kittler, J.: 'A survey of the Hough transform', Comput. Vis. Graph. Image Process., 1988, 44, (1), pp. 87-116
6. Young, D., Tunley, H., Samuels, R.: 'Specialised Hough transform and active contour methods for real-time eye tracking' (University of Sussex, Brighton, Cognitive & Computing Science, 1995)
7. Smereka, M., Duleba, I.: 'Circular object detection using a modified Hough transform', Int. J. Appl. Math. Comput. Sci., 2008, 18, (1), pp. 85-91
8. Atherton, T.J., Kerbyson, D.J.: 'Size invariant circle detection', Image Vis. Comput., 1999, 17, (11), pp. 795-803
9. Yang, P., Du, B., Shan, S. et al.: 'A novel pupil localization method based on Gabor eye model and radial symmetry operator'., Int. Conf. on Image Processing, October 2004, (1), pp. 67-70
10. Valenti, R., Gevers, T.: 'Accurate eye center location through invariant isocentric patterns', IEEE Trans. Pattern Anal. Mach. Intell., 2012, 34, (9), pp. 1785-1798
11. Valenti, R., Sebe, N., Gevers, T.: 'Combining head pose and eye location information for gaze estimation', IEEE Trans. Image Process., 2012, 21, (2), pp. 802-815
12. Timm, F., Barth, E.: 'Accurate eye centre localisation by means of gradients'. VISAPP, March 2011, pp. 125-130
13. D'Orazio, T., Ancona, N., Cicirelli, C. et al.: 'A ball detection algorithm for real soccer image sequences'. 16th Int. Conf. on Pattern Recognition, 2002. Proc., 2002, (1), pp. 210-213
14. Daugman, J.: 'How iris recognition works', IEEE Trans. Circuits Syst. Video Technol., 2004, 14, (1), pp. 21-30
15. Baek, S.J., Choi, K.A., Ma, C. et al.: 'Eyeball model-based iris center localization for visible image-based eye-gaze tracking systems', IEEE Trans. Consum. Electron., 2013, 59, (2), pp. 415-421
16. Sewell, W., Komogortsev, O.: 'Real-time eye gaze tracking with an unmodified commodity webcam employing a neural network'. CHI'10 Extended Abstracts on Human Factors in Computing Systems, 2012, pp. 3739-3744
17. Zhou, Z.H., Geng, X.: 'Projection functions for eye detection', Pattern Recognit., 2004, 37, (5), pp. 1049-1056
18. Bhaskar, T.N., Keat, F.T., Ranganath, S. et al.: 'Blink detection and eye tracking for eye localization'. Conf. on Convergent Technologies for the Asia-Pacific Region, 2003, (2), pp. 821-824
19. Wang, J., Sung, E., Venkateswarlu, R.: 'Eye gaze estimation from a single image of one eye'. Ninth IEEE Int. Conf. on Computer Vision, 2003. Proc., October 2003, pp. 136-143
20. Zhang, X., Sugano, Y., Fritz, M. et al.: 'Appearance-based gaze estimation in the wild'. Computer Vision and Pattern Recognition, 2015, vol. 1
21. Schneider, T., Schauerte, B., Stiefelhagen, R.: 'Manifold alignment for person independent appearance-based gaze estimation'. IEEE Int. Conf. on Pattern Recognition, 2014, pp. 1167-1172
22. Sugano, Y., Matsushita, Y., Sato, Y.: 'Learning-by-synthesis for appearance-based 3D gaze estimation'. Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, 2014, pp. 1821-1828
23. Viola, P., Jones, M.: 'Rapid object detection using a boosted cascade of simple features'. Proc. of the 2001 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, 2001, 2001, (1), pp. I-511
24. Dasgupta, A., George, A., Happy, S.L. et al.: 'A vision-based system for monitoring the loss of attention in automotive drivers', IEEE Trans. Intell. Transp. Syst., 2013, 14, (4), pp. 1825-1838
25. Li, D., Winfield, D., Parkhurst, D.J.: 'Starburst: a hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches'. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition-Workshops, June 2005, p. 79
26. Fitzgibbon, A., Pilu, M., Fisher, R.B.: 'Direct least square fitting of ellipses', IEEE Trans. Pattern Anal. Mach. Intell., 1999, 21, (5), pp. 476-480
27. Fischler, M.A., Bolles, R.C.: 'Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography', Commun. ACM, 1981, 24, (6), pp. 381-395
28. Swirski, L., Bulling, A., Dodgson, N.: 'Robust real-time pupil tracking in highly off-axis images'. Proc. of the Symp. on Eye Tracking Research and Applications, March 2012, pp. 173-176
29. Yoon, Y., Kosaka, A., Kak, A.C.: 'A new Kalman-filter-based framework for fast and accurate visual tracking of rigid objects', IEEE Trans. Robot., 2008, 24, (5), pp. 1238-1251
30. Kiruluta, A., Eizenman, M., Pasupathy, S.: 'Predictive head movement tracking using a Kalman filter', IEEE Trans. Syst. Man Cybern. B, Cybern., 1997, 27, (2), pp. 326-331
31. Dalal, N., Triggs, B.: 'Histograms of oriented gradients for human detection'. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, 2005, June 2005, (1), pp. 886-893
32. Cristinacce, D., Cootes, T.F.: 'Facial feature detection and tracking with automatic template selection'. Seventh Int. Conf. on Automatic Face and Gesture Recognition, 2006, April 2006, pp. 429-434
33. Vukadinovic, D., Pantic, M.: 'Fully automatic facial feature point detection using Gabor feature based boosted classifiers'. 2005 IEEE Int. Conf. on Systems, Man and Cybernetics, October 2005, (2), pp. 1692-1698
34. Lewis, J.P.: 'Fast normalized cross-correlation', Vis. Interface, 1995, 1, (10), pp. 120-123
35. Tomasi, C., Kanade, T.: 'Detection and tracking of point features' (School of Computer Science, Carnegie Mellon University, Pittsburgh, 1991)
36. Pires, B.R., Hwangbo, M., Devyver, M. et al.: 'Visible-spectrum gaze tracking for sports'. 2013 IEEE Conf. on Computer Vision and Pattern Recognition Workshops, June 2013, pp. 1005-1010
37. Sigut, J., Sidha, S.A.: 'Iris center corneal reflection method for gaze tracking using visible light', IEEE Trans. Biomed. Eng., 2011, 58, (2), pp. 411-419
38. Nadaraya, E.A.: 'On estimating regression', Theory Probab. Appl., 1964, 9, (1), pp. 141-142
39. Kohn, R., Smith, M., Chan, D.: 'Nonparametric regression using linear combinations of basis functions', Stat. Comput., 2001, 11, (4), pp. 313-322
40. Cootes, T.F., Edwards, G.J., Taylor, C.J.: 'Active appearance models', IEEE Trans. Pattern Anal. Mach. Intell., 2001, 23, (6), pp. 681-685
41. Cristinacce, D., Cootes, T.F.: 'Feature detection and tracking with constrained local models'. BMVC, 2006, vol. 1, (2), p. 3
42. Viola, P., Jones, M.J.: 'Robust real-time face detection', Int. J. Comput. Vis., 2004, 57, (2), pp. 137-154
43. Jesorsky, O., Kirchberg, K.J., Frischholz, R.W.: 'Robust face detection using the Hausdorffdistance', Audio Video-based Biometric Person Authentication, 2001, pp. 90-95
44. 'BioID Database'. Available at https://www.bioid.com/About/BioID-Face-Database, accessed April 2014
45. Ponz, V., Villanueva, A., Cabeza, R.: 'Dataset for the evaluation of eye detector for gaze estimation'. Proc. of the 2012 ACM Conf. on Ubiquitous Computing, September 2012, pp. 681-684
46. Burrus, C.S.S., Parks, T.W.: 'DFT/FFT and convolution algorithms: theory and implementation' (John Wiley & Sons, Inc., 1991)
47. Bradski, G.: 'The OpenCV library', Doct. Dobbs J., 2000, 25, (11), pp. 120-126