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Vision-based method for detecting driver drowsiness and distraction in driver monitoring system

Title
Vision-based method for detecting driver drowsiness and distraction in driver monitoring system
Author
정호기
Keywords
Eye; Video; Principal component analysis; Head; Glasses; Databases; Eyeglasses
Issue Date
2011-12
Publisher
SPIE - THE INT SOC FOR OPTICAL ENGINEERING
Citation
Optical engineering, 2011, 50(12), P.127202
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%.
URI
https://www.spiedigitallibrary.org/journals/Optical-Engineering/volume-50/issue-12/127202/Vision-based-method-for-detecting-driver-drowsiness-and-distraction-in/10.1117/1.3657506.short?SSO=1http://hdl.handle.net/20.500.11754/65854
ISSN
0091-3286
DOI
10.1117/1.3657506
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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