Vol.2 No.5 (December 2012)
Implementation of Fatigue Detection Algorithm Based on Geometric Features
The Adaboost algorithm based on the face of the classifier can accurately detect and positioning face, then through trying three methods to locate the human eye, such as Frame Difference and geometric feature method, extracting human eye image to obtain the binary image of eye by gray processing, gauss smooth, adaptive threshold. Finally, the algorithm will further accurately judge the driver is in a state of fatigue through the analysis of eyes’ feature. The experimental results show that the method of Geometric Feature has anti-jamming effect in positioning the human eye, and the eyes feature significantly can ensure Robustness and real-time.
王景丹 , 江春华 , 郝宗波 (2012) 基于几何特征的疲劳检测算法研究与实现。 计算机科学与应用， 2， 246-250. doi: 10.12677/CSA.2012.25043
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