| Summary: | 碩士 === 國立中央大學 === 資訊工程研究所 === 93 === An active computer vision system is proposed to extract various visual cues for drowsiness detection of drivers. The visual cues include eye close/ open, eye blinking, eyelid movement, and face direction.
The proposed system consists of four parts: an active image acquisition equipment, eye detector, eye tracker, and visual cue extractor. For working in various ambient light conditions, we used an IR camera equipped with a blinking IR illuminator to acquire deriver’s pupils and face for detecting and tracking eyes.
The bright and dark pupil images acquired by the active equipment share the same background and external illumination; we can simply subtract the two images to extract pupils. Based on the location of a pupil, the eye region is clipped to be verified by the SVM method. If the detection is success in consecutive three frames, the procedure is turned to tracking phase. There are two stages in the tracking phase. The first-stages method is the same the detection method. If it is fail, the second tracking strategy is launched based on the matching principle.
In experiments, we conduct several experiments with various ambient light conditions, such as day and night to evaluate the proposed system. From the experimental results, we find that the proposed approach can accurately detect and track eyes in the various ambient light conditions.
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