›› 2015, Vol. 28 ›› Issue (12): 80-.

• Articles • Previous Articles     Next Articles

Face Detection Based on YCbCr Skin Color Model and Improved Adaboost Algorithm

ZHAO Zhe,HOU Jun   

  1. (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
  • Online:2015-12-15 Published:2015-12-15

Abstract:

This paper proposes a method based on YCbCr color model and Adaboost face detection to improve the accuracy of face detection.Firstly,the algorithm uses the YCbCr 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: YCbCr skin color model;Adaboost;face detection;suppression of weights updating