Face detection in complex background based on Adaboost algorithm and YCbCr skin color model

Wei Ge; Chunling Han; Wei Quan

doi:10.1117/12.2209428

14 December 2015 Face detection in complex background based on Adaboost algorithm and YCbCr skin color model

Wei Ge, Chunling Han, Wei Quan

Proceedings Volume 9813, MIPPR 2015: Pattern Recognition and Computer Vision; 981312 (2015) https://doi.org/10.1117/12.2209428
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

Face detection is a fundamental and important research theme in the topic of Pattern Recognition and Computer Vision. Now, remarkable fruits have been achieved. Among these methods, statistics based methods hold a dominant position. In this paper, Adaboost algorithm based on Haar-like features is used to detect faces in complex background. The method combining YCbCr skin model detection and Adaboost is researched, the skin detection method is used to validate the detection results obtained by Adaboost algorithm. It overcomes false detection problem by Adaboost. Experimental results show that nearly all non-face areas are removed, and improve the detection rate.

Citation Download Citation

Wei Ge, Chunling Han, and Wei Quan "Face detection in complex background based on Adaboost algorithm and YCbCr skin color model", Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 981312 (14 December 2015); https://doi.org/10.1117/12.2209428

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