Ms. Huanhuan Tao Profile

Huanhuan Tao

at Peking Univ Shenzhen Graduate School

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Proceedings Article | 21 July 2017 Paper

Real-time driver fatigue detection based on face alignment

Huanhuan Tao, Guiying Zhang, Yong Zhao, Yi Zhou

Proceedings Volume 10420, 1042003 (2017) https://doi.org/10.1117/12.2282043

KEYWORDS: Facial recognition systems, Eye

Read Abstract +

The performance and robustness of fatigue detection largely decrease if the driver with glasses. To address this issue, this paper proposes a practical driver fatigue detection method based on face alignment at 3000 FPS algorithm. Firstly, the eye regions of the driver are localized by exploiting 6 landmarks surrounding each eye. Secondly, the HOG features of the extracted eye regions are calculated and put into SVM classifier to recognize the eye state. Finally, the value of PERCLOS is calculated to determine whether the driver is drowsy or not. An alarm will be generated if the eye is closed for a specified period of time. The accuracy and real-time on testing videos with different drivers demonstrate that the proposed algorithm is robust and obtain better accuracy for driver fatigue detection compared with some previous method.

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