Facial and eye gaze detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2525, Issue , 2002, Pages 368-376

  Park, Kang Ryoung ^a   Lee, Jeong Jun ^b   Kim, Jaihie ^b  

^a LG Electronics Inc   (South Korea)

^b Yonsei University   (South Korea)

Author keywords

Facial and Eye Gaze detection; IR LED based camera

Indexed keywords

AFFINE TRANSFORMS; CAMERAS; COMPUTER VISION; LIGHT EMITTING DIODES; SUPPORT VECTOR MACHINES;

COMPUTER VISION SYSTEM; EYE GAZE DETECTION; FACIAL MOVEMENTS; GAZE DETECTION; POSITION ACCURACY; SINGLE CAMERAS; SVM(SUPPORT VECTOR MACHINE); TRAINED NEURAL NETWORKS;

EYE MOVEMENTS;

EID: 23044532089     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36181-2_37     Document Type: Conference Paper

References (21)

1. A. Azarbayejani., 1993. Visually Controlled Graphics. IEEE Trans. PAMI, Vol. 15, No. 6, pp. 602-605
2. K. R. Park et al., Gaze Point Detection by Computing the 3D Positions and 3D Motions of Face, IEICE Trans. Inf.&Syst.,Vol. E.83-D, No.4, pp.884-894, Apr 2000 (http://search.ieice.org/2000/pdf/e83-d-4-884.pdf)
3. K. R. Park et al., Gaze Detection by Estimating the Depth and 3D Motions of Facial Features in Monocular Images, IEICE Trans. Fundamentals, Vol. E.82-A, No. 10, pp. 2274-2284, Oct 1999
4. K. OHMURA et al, 1989. Pointing Operation Using Detection of Face Direction from a Single View. IEICE Trans. Inf.&Syst., Vol. J72-D-2, No.9, pp. 1441-1447
5. P. Ballard et al., 1995. Controlling a Computer via Facial Aspect. IEEE Trans, on SMC, Vol. 25, No. 4, pp. 669-677
6. A. Gee et al., 1996. Fast visual tracking by temporal consensus, Image and Vision Computing. Vol. 14, pp. 105-114
7. J. Heinzmann et al., 1998. 3D Facial Pose and Gaze Point Estimation using a Robust Real-Time Tracking Paradigm. Proceedings of ICAFGR, pp. 142-147
8. T. Rikert et al., 1998. Gaze Estimation using Morphable Models. Proc. of ICAFGR, pp. 436-441
9. Ali A.A. L, et al., Man-machine interface through eyeball direction of gaze. Proc. of the Southeastern Symposium on System Theory 1997, pp. 478-82
10. A. TOMONO et al, 1994. Eye Tracking Method Using an Image Pickup Apparatus. European Patent Specification-94101635
11. Seika-Tenkai-Tokushuu-Go, ATR Journal, 1996
12. Eyemark Recorder Model EMR-NC, NAC Image Technology Cooperation
13. Porrill-J et al., Robust and optimal use of information in stereo vision. Nature. vol.397, no.6714, Jan. 1999, pp. 63-6
14. Varchmin AC et al., image based recognition of gaze direction using adaptive methods. Gesture and Sign Language in Human-Computer Interaction. Int. Gesture Workshop Proc. Berlin, Germany, 1998, pp. 245-57
15. J. Heinzmann et al., 1997. Robust real-time face tracking and gesture recognition. Proc. of the IJCAI, Vol. 2, pp. 1525-1530
16. Matsumoto Y, et al., An algorithm for real-time stereo vision implementation of head pose and gaze direction measurement. Proc. the ICAFGR 2000. pp. 499-504
17. Newman R et al., Real-time stereo tracking for head pose and gaze estimation. Proceedings the 4th ICAFGR 2000. pp. 122-8
18. Betke M et al., Gaze detection via self-organizing gray-scale units. Proc. Int. Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time System 1999. pp. 70-6
19. K. R. Park et al., 2000. Intelligent Process Control via Gaze Detection Technology. E A AI, Vol. 13, No. 5, pp. 577-587
20. T. BROIDA et al., 1990. Recursive 3-D Motion Estimation from a Monocular Image Sequence. IEEE Trans. Aerospace and Electronic Systems, Vol. 26, No. 4, pp. 639-656
21. T. Fukuhara et al., 1993. 3D-motion estimation of human head for model-based image coding. IEE Proc, Vol. 140, No. 1, pp. 26-35