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Eye Detection Based on Integral Projection and Hough Round Transform

机译:基于积分投影和霍夫圆变换的眼睛检测

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摘要

As the judgment of driver's fatigue, we must first achieve the driver's face detection, and then conduct the human eye's detect. This work is in color model and radial basis function networks realize the driver's face detection, next using integral projection and Hough round Transform comply eye detection. This method have two advantages, the first is use of integral projection function can achieve coarse positioning of the human eye and be united in wedlock of Hough round Transform finish the exact position of human eyes, so we can make up the shortcomings inaccurate of one single integral projection template matching methods to detect, another advantage is in order to improve the detect accurate we take the human eye as a whole, so we may quickly achieve the human eye detect, thus the errors of monocular detection will have greatly improve.
机译:作为驾驶员疲劳的判断,我们必须首先实现驾驶员面部检测,然后再进行人眼检测。这项工作是在颜色模型和径向基函数网络中实现驾驶员的面部检测,然后使用积分投影和霍夫圆形变换进行眼睛检测。该方法有两个优点,首先是利用积分投影功能可以实现人眼的粗略定位,并结合霍夫轮变换完成人眼的精确位置,因此可以弥补一个人的误差。整体投影模板匹配方法进行检测,另一个优点是为了提高检测精度,我们将人眼作为一个整体,因此我们可以快速实现人眼检测,因此单眼检测的误差将有很大的提高。

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