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Adaboost algorithm based on MB-LBP features with skin color segmentation for face detection

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3 Author(s)
Kai-Biao Ge ; Dept. of Comput. Sci., Chongqing Univ., Chongqing, China ; Wen, Jing ; Bin Fang

Face detection is a complicated and important problem in pattern recognition and also has wide application. Since Viola and Jones' work effective and real-time face detection has been made possible by using the method of rectangle Haar-like features with AdaBoost learning. In this paper a face detection algorithm based on AdaBoost has been implemented, but we extract MB-LBP features instead of Haar features, which are used for Training of AdaBoost classifier. In order to reduce false alarm rate, we also combine skin color with AdaBoost.

Published in:

Wavelet Analysis and Pattern Recognition (ICWAPR), 2011 International Conference on

Date of Conference:

10-13 July 2011