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Optical Engineering

Vision-based method for detecting driver drowsiness and distraction in driver monitoring system
Author(s): Jaeik Jo; Sung Joo Lee; Jaihie Kim; Ho Gi Jung; Kang Ryoung Park
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Paper Abstract

Most driver-monitoring systems have attempted to detect either driver drowsiness or distraction, although both factors should be considered for accident prevention. Therefore, we propose a new driver-monitoring method considering both factors. We make the following contributions. First, if the driver is looking ahead, drowsiness detection is performed; otherwise, distraction detection is performed. Thus, the computational cost and eye-detection error can be reduced. Second, we propose a new eye-detection algorithm that combines adaptive boosting, adaptive template matching, and blob detection with eye validation, thereby reducing the eye-detection error and processing time significantly, which is hardly achievable using a single method. Third, to enhance eye-detection accuracy, eye validation is applied after initial eye detection, using a support vector machine based on appearance features obtained by principal component analysis (PCA) and linear discriminant analysis (LDA). Fourth, we propose a novel eye state-detection algorithm that combines appearance features obtained using PCA and LDA, with statistical features such as the sparseness and kurtosis of the histogram from the horizontal edge image of the eye. Experimental results showed that the detection accuracies of the eye region and eye states were 99 and 97%, respectively. Both driver drowsiness and distraction were detected with a success rate of 98%.

Paper Details

Date Published: 1 December 2011
PDF: 25 pages
Opt. Eng. 50(12) 127202 doi: 10.1117/1.3657506
Published in: Optical Engineering Volume 50, Issue 12
Show Author Affiliations
Jaeik Jo, Yonsei Univ. (Korea, Republic of)
Sung Joo Lee, Yonsei Univ. (Korea, Republic of)
Jaihie Kim, Yonsei Univ. (Korea, Republic of)
Ho Gi Jung, Hanyang Univ. (Korea, Republic of)
Kang Ryoung Park, Dongguk Univ. (Korea, Republic of)


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