A new real-time eye tracking based on nonlinear unscented Kalman filter for monitoring driver fatigue

Author:

Zhang Zutao,Zhang Jiashu

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Hardware and Architecture,Control and Systems Engineering

Reference16 articles.

1. M. Eriksson, P. Papanikolopoulos. Eye-tracking for detection of driver fatigue[C]//IEEE Conference on Intelligent Transportation Systems. New York: IEEE, 1997: 314–319.

2. T. Horberry, L. Hartley, G. P. Krueger, et al. Fatigue detection technologies for drivers: A review of existing operator-centred systems[C]//International Conference on Human Interfaces in Control Rooms, Cockpits and Command Centres. Edison: Institute of Electrical Engineers, INSPEC Inc., 2001: 321–326.

3. H. Gu, Q. Ji, Z. Zhu. Active facial tracking for fatigue detection[C]//Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision. Piscataway: IEEE, 2002: 137–142.

4. W. Horng, C. Chen, Y. Chang, et al. Driver fatigue detection based on eye tracking and dynamic template matching[C]//Proceeding of the 2004 IEEE International Conference on Networking, Sensing & Control. New York: IEEE, 2004: 7–12.

5. K. Peng, L. Chen. A roust algorithm for eye detection on gray intensity face without spectacles[J]. Journal of Computer Science & Technology, 2005, 5(3): 127–132.

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