| Adaboost multi-view face detection based on YCgCr skin color model | |
| Lan, Qi1,2; Xu, Zhiyong2 | |
| Source Publication | Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment
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| Volume | 9684Pages:96842D |
| 2016 | |
| Language | 英语 |
| ISSN | 0277-786X |
| DOI | 10.1117/12.2243232 |
| Indexed By | SCI ; Ei |
| WOS ID | WOS:000387429500085 |
| Subtype | C |
| Abstract | 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. |
| Keyword | Adaptive Boosting Color Color Codes Color Image Processing Error Detection Errors Feature Extraction Manufacture Optical Testing Signal Detection |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ioe.ac.cn/handle/181551/8514 |
| Collection | 光电探测与信号处理研究室（五室） |
| Affiliation | 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 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2016-2141.pdf（508KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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