| 基于肤色模型和改进Adaboost算法的人脸检测 |
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| 引用本文： | 赵喆,侯俊.基于肤色模型和改进Adaboost算法的人脸检测[J].电子科技,2015,28(12):80. |
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| 作者姓名： | 赵喆 侯俊 |
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| 作者单位： | (上海理工大学 光电信息与计算机工程学院,上海 200093) |
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| 摘 要： | 为提高人脸检测的精度,提出一种基于YCbCr肤色模型和Adaboost算法的人脸检测方法。利用YCbCr颜色空间的肤色阈值模型确定待检测区域。再利用Adaboost算法准确定位出人脸位置,并对Adaboost算法的训练过程提出一种新的权值更新方法,防止权值过分增大,避免了Adaboost算法训练过程中出现的“退化”现象。
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| 关 键 词： | YCbCr肤色模型 Adaboost算法 人脸检测 权值更新抑制 |
Face Detection Based on YCbCr Skin Color Model and Improved Adaboost Algorithm |
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| ZHAO Zhe,HOU Jun.Face Detection Based on YCbCr Skin Color Model and Improved Adaboost Algorithm[J].Electronic Science and Technology,2015,28(12):80. |
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| Authors: | ZHAO Zhe HOU Jun |
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| Affiliation: | (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China) |
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| Abstract: | This paper proposes a method based on YCbCr color model and Adaboost face detection to improve the accuracy of face detection.Firstly,the algorithm uses the YCbCr skin color threshold model to determine the area to be detected.Then Adaboost algorithm is applied to locate the position of face.To avoid the degradation during training in Adaboost,the paper proposes a new method about suppression of weights updating in training of Adaboost algorithm. |
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| Keywords: | YCbCr skin color model Adaboost face detection suppression of weights updating |
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