›› 2015, Vol. 28 ›› Issue (12): 80-.
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ZHAO Zhe,HOU Jun
Online:
Published:
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.
Key words: YCbCr skin color model;Adaboost;face detection;suppression of weights updating
ZHAO Zhe,HOU Jun. Face Detection Based on YCbCr Skin Color Model and Improved Adaboost Algorithm[J]., 2015, 28(12): 80-.
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https://journal.xidian.edu.cn/dzkj/EN/Y2015/V28/I12/80
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