Eye localization for face matching: is it always useful and under what conditions?
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Efficient Measurement of the Eye Blinking by Using Decision Function for Intelligent Vehicles
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Eye localization in low and standard definition content with application to face matching
Computer Vision and Image Understanding
Driver alert state and fatigue detection by salient points analysis
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Proceedings of the 2007 conference on Human interface: Part I
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In this paper, we propose an efficient way of measuring the level of eye blinking under various illumination conditions (such as day and night) for drowsiness detection systems which use a single camera. Determining the level of drowsiness by using eye blinking, it is an important way of detection eye positions and measuring eyelid movements. For robust eye detection under various illumination conditions, we propose a simple illumination compensation algorithm and a novel way of measuring of eyelid movements. In order to estimate the performance of the proposed methods, we collected video data during real driving situations under various illumination conditions, such as during the day and during the night. Experimental results demonstrate an average eye detection rate of over 98% and an accurate measurement of eye blinking when using the proposed drowsiness detection system.