吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (02): 473-0478.

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Face detection based on skin color segmentation and improved AdaBoostSVM algorithm

GUO Song1,GU Guo-chang1,CAI Ze-su2,LIU Hai-bo1,SHEN Jing1   

  1. 1.School of Computer Science and Technology,Harbin Engineering University,Harbin 150001,China;2.School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China
  • Received:2009-04-18 Published:2011-03-01

Abstract:

A method for face detection based on skin color segmentation and improved AdaBoostSVM algorithm was proposed. This method can improve the performance and speed of face detection. Skin color segmentation was implemented through the calculation of the similarity of skin color in YCgCr space. Then, the face regions of the candidate were obtained. An improved AdaBoostSVM algorithm was proposed to enhance the face detection accuracy according to the asymmetry of the face and nonface samples in face detection, and this algorithm was used to verify the face regions of the candidate. Experiment results show that the proposed algorithm enhances the performance and speed of face detection, and can detect face regions quickly and accurately with complex background.

Key words: computer application, face detection, skin color segmentation, similarity of skin color;AdaBoost, SVM

CLC Number: 

  • TP391
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