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Proceedings Paper

Face detection in complex background based on Adaboost algorithm and YCbCr skin color model
Author(s): Wei Ge; Chunling Han; Wei Quan
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Paper 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.

Paper Details

Date Published: 14 December 2015
PDF: 5 pages
Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 981312 (14 December 2015); doi: 10.1117/12.2209428
Show Author Affiliations
Wei Ge, Changchun Univ. of Science and Technology (China)
Chunling Han, Changchun Univ. of Science and Technology (China)
Wei Quan, Changchun Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9813:
MIPPR 2015: Pattern Recognition and Computer Vision
Tianxu Zhang; Jianguo Liu, Editor(s)

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