Adaboost multi-view face detection based on YCgCr skin color model

doi:10.1117/12.2243232

CORC > 光电技术研究所 > 中国科学院光电技术研究所 > 光电探测与信号处理研究室（五室）

	Adaboost multi-view face detection based on YCgCr skin color model
	Lan, Qi 1,2; Xu, Zhiyong 2
刊名	Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment
	2016
卷号	9684 页码:96842D
关键词	Adaptive Boosting Color Color Codes Color Image Processing Error Detection Errors Feature Extraction Manufacture Optical Testing Signal Detection
ISSN号	0277-786X
DOI	10.1117/12.2243232
文献子类	C
英文摘要	Traditional Adaboost face detection algorithm uses Haar-like features training face classifiers, whose detection error rate is low in the face region. While under the complex background, the classifiers will make wrong detection easily to the background regions with the similar faces gray level distribution, which leads to the error detection rate of traditional Adaboost algorithm is high. As one of the most important features of a face, skin in YCgCr color space has good clustering. We can fast exclude the non-face areas through the skin color model. Therefore, combining with the advantages of the Adaboost algorithm and skin color detection algorithm, this paper proposes Adaboost face detection algorithm method that bases on YCgCr skin color model. Experiments show that, compared with traditional algorithm, the method we proposed has improved significantly in the detection accuracy and errors. © 2016 SPIE.
语种	英语
WOS记录号	WOS:000387429500085
资助机构	Chinese Academy of Sciences, Institute of Optics and Electronics (IOE) ; The Chinese Optical Society (COS)
内容类型	期刊论文
源URL	[http://ir.ioe.ac.cn/handle/181551/8514]
专题	光电技术研究所_光电探测与信号处理研究室（五室）
作者单位	1.Institute of Optics and Electronics, Chinese Academy of Science, Sichuan Province 2.610209, China 3.University of Chinese Academy of Sciences, Beijing 4.100039, China
推荐引用方式 GB/T 7714	Lan, Qi,Xu, Zhiyong. Adaboost multi-view face detection based on YCgCr skin color model[J]. Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment,2016,9684:96842D.
APA	Lan, Qi,&Xu, Zhiyong.(2016).Adaboost multi-view face detection based on YCgCr skin color model.Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment,9684,96842D.
MLA	Lan, Qi,et al."Adaboost multi-view face detection based on YCgCr skin color model".Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment 9684(2016):96842D.