Driver’s eye blinking detection using novel color and texture segmentation algorithms
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J. Horne and L. A. Reyner, “Sleep related vehicle accidents,” British Medical Journal, vol. 310, pp. 565–567, 1995.
The Role of Driver Fatigue in Commercial Road Transport Crashes, European Transport Safety Council, 2001.
Driver Fatigue and Road Accidents, The Royal Society for the Prevention of Accidents, Birmingham, England, 2001.
L. Hartley, T. Horberry, and N. Mabbott, Review of Fatigue Detection and Prediction Technologies, Institute for Research in Safety and Transport, Murdoch University, Western Australia and Gerald Krueger — Krueger Ergonomics Consultants, Virginia, USA, 2000.
S. Box, “New Data from VTTI provides insight into cell phone use and driving distraction,” Virginia Tech Transportation Institute, 2009.
S. Zhao and R.-R. Grigat, “Robust eye detection under active infrared illumination,” Proc. of the 18th International Conference on Pattern Recognition, pp. 481–484, 2006.
Q. Ji and X. Yang, “Real-time eye, gaze, and face pose tracking for monitoring driver vigilance,” Real-Time Imaging, vol. 8, pp. 357–377, 2002.
J. P. Batista, “A real-time driver visual attention monitoring system,” Proc. of Iberian Conference on Pattern Recognition and Image Analysis, vol. 3522, pp. 200–208, 2005.
R. I. Hammoud, G. Witt, R. Dufour, A. Wilhelm, and T. Newman, “On driver eye closure recognition for commercial vehicles,” Proc. of SAE Commercial Vehicles Engineering Congress and Exhibition, Chicago, IL, USA, 2008.
D. Pitts, A. Cullen, and P. Dayhew-Barker, Determination of ocular threshold levels for infrared radiation cataractogenesis: NIOSH research report, DHHS publication; no. (NIOSH) 80-121, DHHS publication — no. (NIOSH) 80–121, 1980.
W. Rong-ben, G. Ke-you, S. Shu-ming, and C. Jiang-wei, “A monitoring method of driver fatigue behavior based on machine vision,” Proc. of Intelligent Vehicles Symposium, pp. 110–113, 2003.
C. Phil and G. Christos, “A fast skin region detector,” ESC Division Research, 2005.
U. Tariq, H. Jamal, M. Z. J. Shahid, and M. U. Malik, “Face detection in color images, a robust and fast statistical approach,” Proc. of INMIC, pp. 73–78, 2004.
A. Hamdy, M. Elmahdy, and M. Elsabrouty, “Face detection using PCA and skin-tone extraction for drowsy driver application,” Proc. of 5th International Conference on Information & Communications Technology, pp. 135–137, 2007.
D. Butler, S. Sridharan, and V. Chandran, “Chromatic colour spaces for skin detection using GMMs,” Inter. Conf. on Acoustics, Speech, and Signal Processing, vol. 4, pp. 3620–3623, 2002.
I. Naseem and M. Deriche, “Robust human face detection in complex color images,” Proc. of IEEE International Conference on Image Processing, vol. 2, pp. 338–341, 2005.
O. J. Hernandez and M. S. Kleiman, “Face recognition using multispectral random field texture models, color content, and biometric features,” Proc. of Applied Imagery and Pattern Recognition Workshop, p. 209, 2005.
C. Chen and S.-P. Chiang, “Detection of human faces in colour images,” IEE Proceedings on Vision, Image and Signal Processing, vol. 144, pp. 384–388, 1997.
M.-J. Seow, D. Valaparla, and V. K. Asari, “Neural network based skin color model for face detection,” Proc. of Applied Imagery Pattern Recognition Workshop, pp. 141–145, 2003.
H. Sahbi and N. Boujemaa, “From coarse to fine skin and face detection,” Proc. of the 8th ACM International Conference on Multimedia, 2000.
A. Lenskiy and J.-S. Lee, “Face and iris detection algorithm based on SURF and circular Hough transform,” Signal Processing, The Institute of Electronics Engineers of Korea, vol. 47, 2010.
H. Jee, K. Lee, and S. Pan, “Eye and face detection using SVM,” Proc. of Conference on Intelligent Sensors, Sensor Networks and Information, pp. 577–580, 2004.
H. A. Rowley, S. Baluja, and T. Kanade, “Neural network-based face detection,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 20, pp. 23–38, 2004.
R. Motwani, M. Motwani, and F. Harris, “Eye detection using wavelets and ANN,” Proc. of GSPx, 2004.
K. He, J. Zhou, Y. Song, and Q. Qiao, “Multiresolution eye location from image,” Proc. of Signal Processing, vol. 2, pp. 901–905, 2004.
K.-H. Cheung, J. You, W.-K. Kong, and D. D. Zhang, “A study of aggregated 2D Gabor features on appearance-based face recognition,” Proc. of Int. Conf. on Image and Graphics, pp. 310–313, 2004.
N. Gourier, D. Hall, and J. L. Crowley, “Facial features detection robust to pose, illumination and identity,” Proc. of IEEE International Conference on Systems, Man and Cybernetics, pp. 617–622, 2004.
Z.-H. Zhou and X. Geng, “Projection functions for eye detection,” Pattern Recognition, vol. 37, pp. 1049–1056, 2004.
L. Daw-Tung and Y. Chen-Ming, “Real-time eye detection using face circle fitting and dark-pixel filtering,” Proc. of IEEE International Conference on Multimedia and Expo, vol. 2, pp. 1167–1170, 2004.
H.-J. Kim and W.-Y. Kim, “Eye detection in facial images using zernike moments with SVM,” ETRI Journal, vol. 30, pp. 335–337, 2008.
A. A. Lenskiy and J.-S. Lee, “Terrain images segmentation in infra-red spectrum for autonomous robot navigation,” Proc. of IFOST 2010, Ulsan, Korea, pp. 33–37, 2010.
A. A. Lenskiy and J.-S. Lee, “Rugged terrain segmentation based on salient features,” Proc. of International Conference on Control, Automation and Systems, Gyeonggi-do, Korea, 2010.
T. D’Orazio, M. Leo, C. Guaragnella, and A. Distante, “A visual approach for driver inattention detection,” Pattern Recognition, vol. 40, pp. 2341–2355, 2007.
A. A. Lenskiy and J.-S. Lee, “Machine learning algorithms for visual navigation of unmanned ground vehicles,” in Computational Modeling and Simulation of Intellect: Current State and Future Perspectives, B. Igelnik, Ed., ed: IGI Global, 2011.
H. Bay, A. Ess, T. Tuytelaars, and L. V. Gool, “Speeded-up robust features (SURF),” Computer Vision and Image Understanding, vol. 110, pp. 346–359, 2008.
R. O. Duda and P. E. Hart, “Use of the hough transformation to detect lines and curves in pictures,” Communications of Association for Computing Machinery, vol. 15, pp. 11–15, 1972.
K. Deb, A. Vavilin, J.-W. Kim, and K.-H. Jo, “Vehicle license plate tilt correction based on the straight line fitting method and minimizing variance of coordinates of projection points,” International Journal of Control, Automation, and Systems, vol. 8, pp. 975–984, 2010.
R. G. Brown and P. Y. C. Hwang, Introduction to Random Signals and Applied Kalman Filtering with MATLAB Exercises and Solutions, John Wiley & Sons, 1997.
P. Caffier, U. Erdmann, and P. Ullsperger, “Experimental evaluation of eye-blink parameters as a drowsiness measure,” Eur. J. Appl. Physiol, vol. 89, pp. 319–325, 2003.
G. R. David Dinges, Perclos: A Valid Psychophysiological Measure of Alertness As Assessed by Psychomotor Vigilance, Federal Highway Administration, Office of Motor Carriers, Indianapolis, IN, Tech. Rep. MCRT-98-006, 1998.
M. J. Flores, J. M. Armingol, and A. de la Escalera, “Real-time drowsiness detection system for and intelligent vehicle,” Proc. of IEEE Intelligent Vehicles Symposium, pp. 637–642, 2008.