Driver fatigue alarm based on eye detection and gaze estimation

Xinghua Sun; Lu Xu; Jingyu Yang

doi:10.1117/12.747671

15 November 2007 Driver fatigue alarm based on eye detection and gaze estimation

Xinghua Sun, Lu Xu, Jingyu Yang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678612 (2007) https://doi.org/10.1117/12.747671
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

The driver assistant system has attracted much attention as an essential component of intelligent transportation systems. One task of driver assistant system is to prevent the drivers from fatigue. For the fatigue detection it is natural that the information about eyes should be utilized. The driver fatigue can be divided into two types, one is the sleep with eyes close and another is the sleep with eyes open. Considering that the fatigue detection is related with the prior knowledge and probabilistic statistics, the dynamic Bayesian network is used as the analysis tool to perform the reasoning of fatigue. Two kinds of experiments are performed to verify the system effectiveness, one is based on the video got from the laboratory and another is based on the video got from the real driving situation. Ten persons participate in the test and the experimental result is that, in the laboratory all the fatigue events can be detected, and in the practical vehicle the detection ratio is about 85%. Experiments show that in most of situations the proposed system works and the corresponding performance is satisfying.

Citation Download Citation

Xinghua Sun, Lu Xu, and Jingyu Yang "Driver fatigue alarm based on eye detection and gaze estimation", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678612 (15 November 2007); https://doi.org/10.1117/12.747671

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