| 人脸检测及眼睛定位在驾驶员疲劳检测中的应用 |
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| 引用本文： | 苏晓娜,李晓明.人脸检测及眼睛定位在驾驶员疲劳检测中的应用[J].科学技术与工程,2012,12(17):4183-4186. |
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| 作者姓名： | 苏晓娜 李晓明 |
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| 作者单位： | 太原理工大学电气与动力工程学院,太原,030024 |
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| 摘 要： | 人眼状态可以很好地反映疲劳程度,人脸检测和眼睛定位在驾驶员疲劳检测中占有重要的地位。首先对图像进行图像预处理。然后根据肤色在YCbCr颜色空间上具有很好的聚类性,对驾驶员人脸进行检测。最后在肤色识别后的图像中进行人眼定位,判断眼睛的状态,并利用PERCLOS原理判断驾驶员的疲劳状态。
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| 关 键 词： | 疲劳驾驶 人脸检测 眼睛定位 |
The Application of Human Face Detection and Eye Location in Driver' s Fatigue Detection |
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| SU Xiao-na
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LI Xiao-ming.The Application of Human Face Detection and Eye Location in Driver' s Fatigue Detection[J].Science Technology and Engineering,2012,12(17):4183-4186. |
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| Authors: | SU Xiao-na LI Xiao-ming |
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| Affiliation: | *(College of Electrical and Power Engineering,Taiyuan University of Technology,Taiyuan 030024,P.R.China) |
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| Abstract: | Eye state can reflect the degree of fatigue well,so human face detection and eye location play important roles in Driver’s Fatigue Detection.First of all,the image is preproced.And then human face is detected according to skin color in the color space of YCbCr has good clustering.Finally,eye is located in the image of color identification,judge the eye state,and judge the state of driver’s fatigue using the principle of PERCLOS. |
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| Keywords: | driver’s fatigue detection human face detection eye location |
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