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skin color model
相关语句
  肤色模型
    AdaBoost detector was used to quickly detect the skin color area possibly existing in the image. The skin color model in YcrCb was used to precisely locate the face in the detected area.
    利用AdaBoost检测器快速检测到图像中可能存在的肤色区域,在检测到的区域内利用YCrCb颜色空间中的肤色模型进行人脸位置的精确定位。
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  skin color model
We build a skin color model with Gaussian distribution and segment face region for each frame of incoming image stream.
      
With this Gaussian skin color model, we segment face region for each frame of the video, so we can obtain face image stream.
      
We use the images from internet to learn the skin-color model.
      
We also reported a comprehensive analysis of the Bayesian skin color model together with several interesting results.
      
The skin color region is extracted based on the skin color model.
      
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Face location is the key issue in the driver behavior surveillance Investigation indicates that face skin color has specifically distributing characteristic in the special color space In order to realize the face location in real time and solve the uncertainty problem caused by turning of the head,an algorithm for locating the face based on the skin color model is proposed in this paper Algorithm utilizes the distributing characteristic of the face shin color to pick?up the shine area in images...

Face location is the key issue in the driver behavior surveillance Investigation indicates that face skin color has specifically distributing characteristic in the special color space In order to realize the face location in real time and solve the uncertainty problem caused by turning of the head,an algorithm for locating the face based on the skin color model is proposed in this paper Algorithm utilizes the distributing characteristic of the face shin color to pick?up the shine area in images Experiments prove its validity

在采用计算机视觉对驾驶员进行驾驶行为监测时 ,面部定位是关键技术之一。研究表明人脸皮肤颜色分量在特定颜色空间内具有特定的分布特性 ,为了解决人脸定位的实时性以及头部旋转不确定性等问题 ,本文给出了一种基于皮肤颜色模型的人脸定位算法。算法利用人脸皮肤颜色的分布特性来提取图像中存在的皮肤区域 ,试验证明了上述算法的有效性。

Face location is the precondition for driver's driving status surveillance and prewarning with the help of image processing technique.On the basis of the Haar-Like feature,AdaBoost algorithm was adopted to produce the strong classifier for face detection.AdaBoost detector was used to quickly detect the skin color area possibly existing in the image.The skin color model in YcrCb was used to precisely locate the face in the detected area.Experimental results prove its good reliability and validity,providing...

Face location is the precondition for driver's driving status surveillance and prewarning with the help of image processing technique.On the basis of the Haar-Like feature,AdaBoost algorithm was adopted to produce the strong classifier for face detection.AdaBoost detector was used to quickly detect the skin color area possibly existing in the image.The skin color model in YcrCb was used to precisely locate the face in the detected area.Experimental results prove its good reliability and validity,providing a good basis for further research on driver's driving status.

面部区域位置的快速准确定位是利用视觉方法对驾驶员的驾驶状态进行监测和预警的基础。采用AdaBoost算法对人脸图像的Haar-Like特征进行统计学习,生成用于人脸检测的强分类器。利用AdaBoost检测器快速检测到图像中可能存在的肤色区域,在检测到的区域内利用YCrCb颜色空间中的肤色模型进行人脸位置的精确定位。实验结果表明,该算法具有很好的可靠性和实时性。

 
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