A Drowsiness Detection Scheme Based on Fusion of Voice and Vision Cues
نویسندگان
چکیده
In this paper, a modified algorithm for the detection of nasal and temporal eye corners is presented. The algorithm is a modification of the Santos and Proenka Method. In the first step, we detect the face and the eyes using classifiers based on Haarlike features. We then segment out the sclera, from the detected eye region. From the segmented sclera, we segment out an approximate eyelid contour. Eye corner candidates are obtained using Harris and Stephens corner detector. We introduce a postpruning of the Eye corner candidates to locate the eye corners, finally. The algorithm has been tested on Yale, JAFFE databases as well as our created database.
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عنوان ژورنال:
- CoRR
دوره abs/1509.04887 شماره
صفحات -
تاریخ انتشار 2015