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An Illumination-Robust Driver Monitoring System Based on Eyelid Movement Measurement  

Park, Il-Kwon (연세대학교 컴퓨터과학과)
Kim, Kwang-Soo (삼성전자 정보통신총괄통신연구소)
Park, Sangcheol (특허청컴퓨터시스템)
Byun, Hye-Ran (연세대학교 컴퓨터과학과)
Publication Information
Journal of KIISE:Software and Applications / v.34, no.3, 2007 , pp. 255-265 More about this Journal
Abstract
In this paper, we propose a new illumination-robust drowsy driver monitoring system with single CCD(Charge Coupled Device) camera for intelligent vehicle in the day and night. For this system that is monitoring driver's eyes during a driving, the eye detection and the measure of eyelid movement are the important preprocesses. Therefore, we propose efficient illumination compensation algorithm to improve the performance of eye detection and also eyelid movement measuring method for efficient drowsy detection in various illumination. For real-time application, Cascaded SVM (Cascaded Support Vector Machine) is applied as an efficient eye verification method in this system. Furthermore, in order to estimate the performance of the proposed algorithm, we collect video data about drivers under various illuminations in the day and night. Finally, we acquired average eye detection rate of over 98% about these own data, and PERCLOS(The percentage of eye-closed time during a period) are represented as drowsy detection results of the proposed system for the collected video data.
Keywords
Driver Monitoring System; Drowsy Detection; Eye Detection; Illumination Compensation; Eyelid extraction; SVM;
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1 Jie Zhu and Jie Yang, 'Subpixel eye gaze tracking,' Automatic Face and Gesture Recognition, 2002, Proceedings, Fifth IEEE International Conference, Page(s): 124-129, 2002
2 Romdhani, S., Torr, P., Scholkopf, B. and Blake, A. 'Computationally efficient face detection' ICCV 2001
3 Ito, T., Mita, S., Kozuka, K., Nakano, T. and Yamamoto, S., 'Driver blink measurement by the motion picture processing and its application to drowsiness detection,' Proceedings of The IEEE 5th International Conference on Intelligent Transportation Systems, Page(s):168-173, 2002
4 Ji, Q. and Yang, Z., 'Real time visual cues extraction for monitoring driver vigilance.' In Proceeding of International Workshop on Computer Vision Systems, Vancouver, Canada, 2001
5 Dinges, D. and Grace, R, 'PERCLOS: A Valid Psycho-physiological Measure of Alertness as Assessed by Psychomotor Vigilance.' TechBrief FHWA-MCRT-98-006, 1998
6 Xia Liu, Fengliang Xu and Fujimara, K., 'Real-time eye detection and tracking for driver observation under various light conditions,' IEEE Intelligent Vehicle Symopsium, Vol, 2 Page(s): 278-281, 2004
7 D'Orazio, T., Leo, M., Cicirelli, G. and Distante, A., 'An algorithm for real time eye detection in face images,' Proceedings of the 17th International Conference on Pattern Recognition, Vol. 3, Page(s):278-281, 2004   DOI
8 Hamada, T., Ito, T., Adachi, K., Nakano, T. and Yamamoto, S., 'Detecting method for drivers' drowsiness applicable to individual features,' Proceedings of IEEE Ingelligent Transportation Systems, Vol. 2, Page(s):1405-0410, 2003
9 FHWA, 'Crash problem Size Assessment: Large truck crashes related primarily to driver fatigue,' Federal Highway Administration, Office of Motor Carriers, September 1998
10 Horne, J. and Reyner, L, 'Vehicle accidents related to sleep-a review,' Occupational and Environmental Medicine, Vol. 56, Page(s):289-294, 1999   DOI   ScienceOn
11 Vuckovic, A., Popovic, D. and Redivejevic, V., 'Artificial neural network for detecting drowsiness from EEG recordings,' 6th Seminar on Neural Network Applications in Electrical Engineering, Page(s):155-158, 2002
12 Renner, G and Mehring, S, 'Lane Departure and Drowsiness-Two Major Accident Causes-One Safety System,' Transport Research Laboratory, TRL Report 220., 1997
13 Hayami, T. Matsunaga, K. Shidoji, K. and Matsuki, Y. 'Detecting drowsiness while driveing by measuring eye movement - a pilot study,' Proceedings of the IEEE 5th International Conference on Intelligent Transportation Systems, Page(s): 156-161, 2002   DOI
14 Ueno, H., Kaneda, M. and Tsukino, M., 'Development of drowsiness detection system,' Proceedings of Vehicle Navigation and Information Systems, Page(s):15-20, 1994   DOI
15 Van Winsum, W and DE waard, D and Brookhuis, KA, 'Lane Change Manoeuveres and Safety Margins,' Transportation Research Park F, Vol. 2, Page(s):139-149, 1999   DOI   ScienceOn
16 Toshiaki Matsumoto and Yoshihito Hori, 'Toyota Advanced Safety Vehicle(Toyoto ASV),' Proceedings of the 4th World Congress on Ingelligent Transport Systems, 1997
17 Qoamg Ji and Xiaojie Yang, 'Real-time eye, gaze, and face pose tracking for monitoring driver vigilance,' Real-Time Imaging, Vol. 8, Issue 5, Pages : 357-377, 2002   DOI   ScienceOn
18 Mimuro, T, Miichi, Y, Maemura, T and Hayafune, K, 'Mitsubishi Advanced Safety Vehicle(ASV),' Proceedings of the 4th World Congress on Intelligent Transport Systems. 1997