首页> 外文会议>International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN) >Eye Tracing in Real-time Fatigue Driving Monitoring System
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Eye Tracing in Real-time Fatigue Driving Monitoring System

机译:实时疲劳驾驶监控系统中的眼睛追踪

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摘要

In the real-time fatigue monitoring system, accurate track of the driver's eyes decides the reliability and practicability of the system. In this paper the method we adopt is, for images collected by infrared CCD camera, the frame-difference method is primarily adopted to locate the area of head. Laterly, we judge the image type according to whether the statistic pixel is suitable to the characteristic of complexion. As for colored image, we make use of the characteristic of complexion clustering to locate the face then apply the hybrid projection function to track the eyes; as for the infrared image, we apply the image differential projection function to locate the candidated district of eyes, further locate the eyes through Hough Transform. The experiment results indicate that the proposed scheme can eliminate the impact brought by light changes in driver's cab and exactly trace the eyes; meanwhile it has applied values to some extent.
机译:在实时疲劳监测系统中,准确跟踪驾驶员的眼睛决定了系统的可靠性和实用性。本文采用的方法是,对于红外CCD相机采集的图像,主要采用帧差法定位头部区域。之后,我们根据统计像素是否适合肤色特征来判断图像类型。对于彩色图像,我们利用肤色聚类的特征来定位面部,然后应用混合投影功能来跟踪眼睛。对于红外图像,我们应用图像差分投影功能来定位眼睛的候选区域,并通过霍夫变换进一步定位眼睛。实验结果表明,该方案可以消除驾驶室光线变化带来的影响,并准确地跟踪眼睛。同时它在一定程度上应用了价值。

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