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http://dx.doi.org/10.7840/kics.2012.37C.8.711

Implementation of Driver Fatigue Monitoring System  

Choi, Jin-Mo (전자부품연구원 소프트웨어디바이스연구센터)
Song, Hyok (전자부품연구원 멀티미디어IP연구센터)
Park, Sang-Hyun (전자부품연구원 소프트웨어디바이스연구센터)
Lee, Chul-Dong (전자부품연구원 소프트웨어디바이스연구센터)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.37, no.8C, 2012 , pp. 711-720 More about this Journal
Abstract
In this paper, we introduce the implementation of driver fatigue monitering system and its result. Input video device is selected commercially available web-cam camera. Haar transform is used to face detection and adopted illumination normalization is used for arbitrary illumination conditions. Facial image through illumination normalization is extracted using Haar face features easily. Eye candidate area through illumination normalization can be reduced by anthropometric measurement and eye detection is performed by PCA and Circle Mask mixture model. This methods achieve robust eye detection on arbitrary illumination changing conditions. Drowsiness state is determined by the level on illumination normalize eye images by a simple calculation. Our system alarms and operates seatbelt on vibration through controller area network(CAN) when the driver's doze level is detected. Our algorithm is implemented with low computation complexity and high recognition rate. We achieve 97% of correct detection rate through in-car environment experiments.
Keywords
Driver fatigue monitering system; Face detection;
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1 H. Chun, J. Moon, J. Park, C. Woo, "Analysis of the Fund Supported by Ministry of Knowledge Economy in the Field of Intelligent Vehicle Research" KSAE Auto Journal, Nov, 2010 (전형호, 문종덕, 박종만, 우창화, "지능형 자동차 분야의 지식경제부 연구개발 지원현황, " 한국자동차공학회 Auto Journal, 2010년 11월.)
2 L. Jin, S. Satoh and M. Sakauchi, "A Novel Adaptive Image Enhancement Algorithm for Face Detection," in Proc. of ICPR04, pp.843-848, Cambridge, UK, Aug. 2004.
3 M. H. Yang, D. J. Kriegman and N. Ahuja, "Detecting Faces in Images: A Survey," IEEE PAMI, vol.24, no.1, pp.34-8, Jan. 2002.   DOI   ScienceOn
4 R. Lienhart and J. Maydt, "An Extended Set of Haar-like Features for Rapid Object Detection," IEEE ICIP 2002, vol.1, pp.900-903, Sept. 2002.
5 P. Viola and M. J. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features," IEEE CVPR, vol.1, pp.I-511-I-518, Dec. 2001.
6 M. D. Levine, M. R. Handhi, and J. Bhattacharyya, "Image Normalization for Illumination Compensation in Facial Images," Internal Report, McGill University, 2004.
7 T. Miyakawa, H. Takano, and K. Nakamura, "Development of Non-contact Real-time Blink Detection System for Doze Alarm," SICE Annual Conference in Sapporo, vol..2, pp.1626-1631, Aug. 2004.
8 Savas, Z, "Real-time Detection And Tracking of Human Eyes in Video Sequences", Master Thesis, Middle East Technical University Ankara, Turkey, 2005
9 M. H. Yang, N. Ahuja, D. Kriegman, "Face recognition using kernel eigenfaces", International Conference on Image Processing Proceedings, Vol. 1, pp. 37-40, Sep, 2000.
10 J. W. Li, "Eye blink detection based on multiple Gabor response waves", Machine Learning and Cybernetics, 2008 International Conference, Vol. 5, pp. 2852-2856, Dec. 2008.