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01-Applied Mathematics & Information Sciences
An International Journal


Volumes > Volume 9 > No. 2L


Head Pose and Gaze Direction Tracking for Detecting a Drowsy Driver

PP: 505-512
In-Ho Choi, Yong-Guk Kim,
This paper proposes a new drowsy-driver detection system that uses the head-pose, gaze direction and eye-blinking states of a driving person. Head-pose of the driver is estimated by using optical flow of the facial features, which are acquired with a corner detection algorithm. To estimate the gaze direction of the driver, we trace the center point of the pupil. The eye-blinking is estimated by using the Integral Projection Function (IPF). Then the level of drowsiness is calculated by combining these three parameters in a data fusion method. Performance of the system is evaluated using the new driver database. Result suggests that the system has a practical potential for detecting drowsiness of the drivers.

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