Driver Fatigue Detection Based Intelligent Vehicle Control

Authors:
Zutao Zhang;Jia-shu Zhang
Affiliations:
Sichuan Key Lab of Signal and Information Processing Southwest Jiaotong University Chengdu, 610031, China;Sichuan Key Lab of Signal and Information Processing Southwest Jiaotong University Chengdu, 610031, China
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Year:
2006

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Abstract

Driver fatigue problem is one of the important factors that cause traffic accidents. Therefore the vision-based driver fatigue detection is the most prospective commercial applications of HCI. However, it is a challenging issue due to a variety of factors such as head and eyes moving fast, external illuminations interference and realistic lighting conditions, etc. This tends to significantly limit its scope of application. In this paper, we present an intelligent vehicle control based on driver fatigue detection. Firstly, the face is located using Haar algorithm and eye location is found with projection technique. After finding eye templates, we propose a new real time eye tracking method based on Unscented Kalman Filter. Thirdly, driver fatigue can be detected whether the eyes are closed over 5 consecutive frames using vertical projection matching. Finally, if driver fatigue is confirmed, the vehicle Cruise Control is start-up with slow speed, and maintains set slow speed such as 5 km/h. The experimental results show that intelligent vehicle control based on driver fatigue detection will be availability in traffic.