Abstract
Human gaze is very important information for the interaction with the computer. In this paper, we propose the new gaze detection system with a wide and a narrow view stereo camera. In order to locate the user’s eye position accurately, the narrow-view camera has the functionalities of auto P/T/Z/F based on the detected 3D eye positions from the wide view camera. In addition, we use the IR-LED illuminators for wide and narrow view camera, which can ease the detecting of facial features, pupil and iris position. The eye gaze position on a monitor is computed by a multi-layered perceptron with a limited logarithm function. Experimental results show that the gaze detection error between the computed positions and the real ones is about 2.89 cm of RMS error.
Chapter PDF
Similar content being viewed by others
References
Wang, J., Sung, E.: Study on Eye Gaze Estimation. IEEE Trans. on SMC 32(3), 332–350 (2002)
Azarbayejani, A.: Visually Controlled Graphics. IEEE Trans. PAMI 15(6), 602–605 (1993)
Park, K.R., et al.: Gaze Point Detection by Computing the 3D Positions and 3D Motions of Face. IEICE Trans. Inf. & Syst. E.83-D(4), 884–894 (2000)
Park, K.R., et al.: Gaze Detection by Estimating the Depth and 3D Motions of Facial Features in Monocular Images. IEICE Trans. Fundamentals E.82-A(10), 2274–2284 (1999)
Ohmura, K., et al.: Pointing Operation Using Detection of Face Direction from a Single View. IEICE Trans. Inf. & Syst. J72-D-II(9), 1441–1447 (1989)
Ballard, P., et al.: Controlling a Computer via Facial Aspect. IEEE Trans. on SMC 25(4), 669–677 (1995)
Gee, A., et al.: Fast visual tracking by temporal consensus. Image and Vision Computing 14, 105–114 (1996)
Heinzmann, J., et al.: 3D Facial Pose and Gaze Point Estimation using a Robust Real-Time Tracking Paradigm. In: Proceedings of ICAFGR, pp. 142–147 (1998)
Rikert, T.: Gaze Estimation using Morphable Models, pp. 436–441 (1998)
Ali-A-L, A., et al.: Man-machine Interface through Eyeball Direction of Gaze. In: Proc. of the Southeastern Symposium on System Theory, pp. 478–482 (1997)
Tomono, A., et al.: Eye Tracking Method Using an Image Pickup Apparatus. In: European Patent Specification-94101635 (1994)
Eyemark Recorder Model EMR-NC, NAC Image Technology Cooperation
Porrill, J., et al.: Robust and Optimal Use of Information in Stereo Vision. Nature 397(6714), 63–66 (1999)
Varchmin, A.C., et al.: Image based Recognition of Gaze Direction Using Adaptive Methods. Gesture and Sign Language in Human-Computer Interaction. In: Int. Gesture Workshop Proc. Berlin, Germany, pp. 245–257 (1998)
Heinzmann, J., et al.: Robust Real-time Face Tracking and Gesture Recognition. In: Proc. of the IJCAI, vol. 2, pp. 1525–1530 (1997)
Matsumoto, Y., et al.: An Algorithm for Real-time Stereo Vision Implementation of Head Pose and Gaze Direction Measurement. In: Proc. the ICAFGR, pp. 499–504 (2000)
Newman, R., et al.: Real-time Stereo Tracking for Head Pose and Gaze Estimation. In: Proceedings the 4th ICAFGR 2000, pp. 122–128 (2000)
Betke, M., et al.: Gaze Detection via Self-organizing Gray-scale Units. In: Proc. Int. Workshop on Recog., Analy., and Tracking of Faces and Gestures in Real-Time System, pp. 70–76 (1999)
Park, K.R., et al.: Intelligent Process Control via Gaze Detection Technology. EAAI 13(5), 577–587 (2000)
Park, K.R., et al.: Gaze Position Detection by Computing the 3 Dimensional Facial Positions and Motions. Pattern Recognition 35(11), 2559–2569 (2002)
Park, K.R., et al.: Facial and Eye Gaze detection. In: Bülthoff, H.H., Lee, S.-W., Poggio, T.A., Wallraven, C. (eds.) BMCV 2002. LNCS, vol. 2525, pp. 368–376. Springer, Heidelberg (2002)
Yang, J., Waibel, A.: A Real-time Face Tracker. In: Proceedings of WACV 1996, pp. 142–147 (1996)
Matsumoto, Y.: An Algorithm for Real-time Stereo Vision Implementation of Head Pose and Gaze Direction Measurement. In: ICFGR, pp. 499–505 (2000)
Wolfe, B., Eichmann, D.: A Neural Network Approach to Tracking Eye Position. International Journal Human Computer Interaction 9(1), 59–79 (1997)
Beymer, D., Flickner, M.: Eye Gaze Tracking Using an Active Stereo Head. IEEE Computer Vision and Pattern Recognition (2003)
Zhu, J., et al.: Subpixel Eye Gaze Tracking. In: International Conference on Face and Gesture Recognition (2002)
Stiefelhagen, R., Yang, J., Waibel, A.: Tracking Eyes and Monitoring Eye Gaze. In: Proceedings of Workshop on Perceptual User Interfaces, pp. 98–100 (1997)
Daugman, J.: The Importance of Being Random: Statistical Principles of Iris Recognition. Pattern Recognition 36(2), 279–291 (2003)
Jain, R.: Machine Vision, McGraw-Hill International edn. (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Park, K.R. (2004). Gaze Detection by Wide and Narrow View Stereo Camera. In: Sanfeliu, A., MartÃnez Trinidad, J.F., Carrasco Ochoa, J.A. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2004. Lecture Notes in Computer Science, vol 3287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30463-0_17
Download citation
DOI: https://doi.org/10.1007/978-3-540-30463-0_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23527-9
Online ISBN: 978-3-540-30463-0
eBook Packages: Springer Book Archive