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Journal of Electronic Imaging • Open Access • new

Eye and mouth state detection algorithm based on contour feature extraction
Author(s): Yingyu Ji; Shigang Wang; Yang Lu; Jian Wei; Yan Zhao

Paper Abstract

Eye and mouth state analysis is an important step in fatigue detection. An algorithm that analyzes the state of the eye and mouth by extracting contour features is proposed. First, the face area is detected in the acquired image database. Then, the eyes are located by an EyeMap algorithm through a clustering method to extract the sclera-fitting eye contour and calculate the contour aspect ratio. In addition, an effective algorithm is proposed to solve the problem of contour fitting when the human eye is affected by strabismus. Meanwhile, the value of chromatism s is defined in the RGB space, and the mouth is accurately located through lip segmentation. Based on the color difference of the lip, skin, and internal mouth, the internal mouth contour can be fitted to analyze the opening state of mouth; at the same time, another unique and effective yawning judgment mechanism is considered to determine whether the driver is tired. This paper is based on the three different databases to evaluate the performance of the proposed algorithm, and it does not need training with high calculation efficiency.

Paper Details

Date Published: 9 February 2018
PDF: 8 pages
J. Electron. Imag. 27(5) 051205 doi: 10.1117/1.JEI.27.5.051205
Published in: Journal of Electronic Imaging Volume 27, Issue 5
Show Author Affiliations
Yingyu Ji, Jilin Univ. (China)
Shigang Wang, Jilin Univ. (China)
Yang Lu, Jilin Univ. (China)
Jian Wei, Jilin Univ. (China)
Yan Zhao, Jilin Univ. (China)


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