| Locating Eye and Nose Features Precisely in IR Video Sequences for Predicting Driver Fatigue |
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| 作者姓名： | JIAO Feng TU Jin LI Ming-biao HE Gui-ming |
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| 作者单位： | [1]School of Computer, Wuhan University, Wuhan 430079, China [2]School of Computer Science, Huangshi Institute of Technology, Huangshi 435003, China |
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| 摘 要： | It is important to detect the driver fatigue at early stage in order to prevent accidents caused by tired operation. This paper presents a non-intrusive computer vision system for real-time monitoring driver＇s fatigue, which is based on active remote infrared （IR） illumination for real time eye tracking. In the system, using the image captured by IR camera, a more efficient method--luminance weight contrasting circle template with distance divisive is developed to detect the bright-pupils accurately in a short time. And a 3D face model with features of eyes and nostrils is constructed helping to predict and track the positions of eyes. The system can be equipped in the panel of a car and work well in most lighting conditions. Some valuable experimental results and some statistic data about the system are shown.
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| 关 键 词： | 汽车安全 系统跟踪 驾驶技术 卡尔曼猜想 |
Locating Eye and Nose Features Precisely in IR Video Sequences for Predicting Driver Fatigue |
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| JIAO Feng TU Jin LI Ming-biao HE Gui-ming.Locating Eye and Nose Features Precisely in IR Video Sequences for Predicting Driver Fatigue[J].Journal of Communication and Computer,2007,4(1):75-81. |
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| Abstract: | |
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| Keywords: | IR driver fatigue tracking Kalman |
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