參考文獻 |
[1] Bakic, V. and G. Stockman, "Real-time tracking of face features and gaze direction determination," in Proc. IEEE Workshop Applications of Computer Vision, Princeton, NJ, Oct.19-21, 1998, pp.256-257.
[2] Cortes, C. and V. Vapnik, "Support-Vector Networks," Machine Learning, vol.20, no.3, pp.273-297, 1995.
[3] D'Orazio, T., M. Leo, G. Cicirelli, and A. Distante, "An algorithm for real time eye detection in face images," in Proc. 17th Int. Conf. Pattern Recognition, Cambridge, UK, Aug. 23-26, 2004, vol.3, pp.278-281.
[4] Grace, R., V. E. Byrne, D.M. Bierman, J.-M. Legrand, D. Gricourt, B.K. Davis, J.J Staszewski, and B. Carnahan, "A drowsy driver detection system for heavy vehicles," in Proc. Conf. Digital Avionics Systems, Oct.31-Nov.7, 1998, vol.2, pp.I36/1-I36/8.
[5] Hamada, T., T. Ito, K. Adachi, T. Nakano, and S. Yamamoto, "Detecting method for drivers' drowsiness applicable to individual features," in Proc. IEEE Int'l Conf. Intelligent Transportation Systems, Oct.12-15, 2003, vol.2, pp.1405-1410.
[6] Haro, A., M. Flickner, and I. Essa, "Detecting and tracking eyes by using their physiological properties, dynamics, and appearance," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, Hilton Head Island, SC, Jun.13-15, 2000, vol.1, pp.163-168.
[7] Hayami, T., K. Matsunaga, K. Shidoji, and Y. Matsuki, "Detecting drowsiness while driving by measuring eye movement - a pilot study," in Proc. IEEE Int’l Conf. Intelligent Transportation Systems, 2002, pp.156-161.
[8] Horng, W.B., C.Y. Chen, Y. Chang, and C.H. Fan, "Driver fatigue detection based on eye tracking and dynamic template matching," in Proc. Int. Conf. Networking, Sensing and Control, Taiwan, Mar.21-23, 2004, pp.7-12.
[9] Huang, W. and M. Robert., "Face detection and precise eyes location," in Proc. 15th Int. Conf. Pattern Recognition, Barcelona, Spain, Sep. 3-7, 2000, vol.4, pp.722-727.
[10] Hutchinson, T.E., Eye Movement Detection with Improved Calibration and Speed, U.S. Patent 4950069, Apr. 1990.
[11] Ito, T., S. Mita, K. Kozuka, T. Nakano, and S. Yamamoto, "Driver blink measurement by the motion picture processing and its application to drowsiness detection," in Proc. IEEE Conf. Intelligent Transportation Systems, Singapore, Sep.3-6, 2002, pp.168-173.
[12] Ji, Q. and Y. Xiaojie, "Real-time eye, gaze, and face pose tracking for monitoring driver vigilance," Real-Time Imaging, vol.8, Issue.5, pp.357-377, Oct. 2002.
[13] Moreno, F., F. Aparicio, W. Hernandez, and J. Paez, "A low-cost real-time FPGA solution for driver drowsiness detection," in Proc. IEEE Conf. Industrial Electronics Society, Nov.2-6, 2003, vol.2, pp.1396-1401.
[14] Morimoto, C.H., D. Koons, A. Amir, and M. Flickner, "Pupil detection and tracking using multiple light sources," Image and Vision Computing, vol. 8, pp.331-335, 2000.
[15] Parikh, P., and E. Micheli-Tzanakou, "Detecting drowsiness while driving using wavelet transform," in Proc. IEEE Conf. Annual Northeast Bioengineering, Apr.17-18, 2004, pp.79-80.
[16] Popieul, J. C., P. Simon, and P. Loslever, "Using driver's head movements evolution as a drowsiness indicator," in Proc. IEEE Intelligent Vehicles Sym., Jun.9-11, 2003, pp.616-621.
[17] Shih, S. W., Y. T. Wu, and J. Liu, "A calibration-free gaze tracking technique," in Proc. 15th Int. Conf. Pattern Recognition, Barcelona, Spain, Sep.3-7, 2000, vol.4, pp.201-204.
[18] Smith, P., M. Shah, and N. da Vitoria Lobo, "Monitoring head/eye motion for driver alertness with one camera," in Proc. Intl. Conf. Pattern Recognition, Barcelona, Spain, Sep.3-8, 2000, vol.4, pp.636-642.
[19] Smith, P., M. Shah, and N. da Vitoria Lobo, "Determining driver visual attention with one camera," in IEEE Trans. Intelligent Transportation Systems, Dec. 2003, vol.4, pp.205-218.
[20] Sobottka, K. and I. Pitas, "Extraction of facial regions and features using color and shape information," in Proc. Int. Conf. Pattern Recognition, Vienna, Austria, Aug. Aug. 25-29, 1996, pp.421-425.
[21] Stefano, L.D., and A. Bulgarelli, "A Simple and Efficient Connected Components Labeling Algorithm," in Proc. Int. Conf. Image Analysis and Processing, 1999, pp.322-327.
[22] Terrillon, J. C., M. N. Shirazi, M. Sadek, H. Fukamachi, and S. Akamatsu, "Invariant face detection with support vector machines," in Proc. 15th Int. Conf. Pattern Recognition, Barcelona, Spain, Sep.3-7, 2000, vol.4, pp.210-217.
[23] Ueno, H., M. Kaneda, and M. Tsukino, "Development of drowsiness detection system," in Proc. Conf. Vehicle Navigation and Information Systems, Yokohama, Japan, Aug.31-Sep.2, 1994, pp.15-20.
[24] Vapnik, V., The Nature of Statistical Learning Theory, Springer-Verlag, 1995.
[25] Vuckovic, A., D. Popovic, and V. Radivojevic, "Artificial neural network for detecting drowsiness from EEG recordings," in Proc. Int'l Conf. Neural Network Applications, Yugoslavia, Sep.26-28, 2002, pp.155-158.
[26] Welch, G.., and G.. Bishop, An Introduction to the Klaman Filter, 1997.
[27] Yuille, A. L., D.S. Cohen, and P. W. Hallinan, "Feature extraction from faces using deformable templates," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, San Diego, CA, Jun.4-8, 1989, pp.104-109.
[28] Zhu, Z., K. Fujimura, and Q. Ji, "Real-Time eye detection and tracking under various light conditions," in Proc. Eye Tracking Research & Application Sym., New Orleans, Louisiana, 2002, pp.139-144. |