摘要
In this paper, a method of detecting adult images based on AdaBoost was proposed. We focused on the detection of the adult images that have naked breasts or naked genitalia. By using basic and rotated Haar-like features extracted from the samples in the training set, we trained a cascade detector. The detector would classify the image whether to be a pornographic one or not. The results showed that this method achieved a high detection rate and a low false alarm rate.
源语言 | 英语 |
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主期刊名 | Materials Engineering and Automatic Control |
页 | 1693-1696 |
页数 | 4 |
DOI | |
出版状态 | 已出版 - 2012 |
已对外发布 | 是 |
活动 | 2012 International Conference on Materials Engineering and Automatic Control, ICMEAC 2012 - Jinan, 中国 期限: 27 4月 2012 → 29 4月 2012 |
出版系列
姓名 | Advanced Materials Research |
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卷 | 562-564 |
ISSN(印刷版) | 1022-6680 |
会议
会议 | 2012 International Conference on Materials Engineering and Automatic Control, ICMEAC 2012 |
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国家/地区 | 中国 |
市 | Jinan |
时期 | 27/04/12 → 29/04/12 |
引用此
Duan, L., Sun, Z., Wu, C., Wang, X., Yang, Z., & Li, J. (2012). Adult image detection based on AdaBoost. 在 Materials Engineering and Automatic Control (页码 1693-1696). (Advanced Materials Research; 卷 562-564). https://doi.org/10.4028/www.scientific.net/AMR.562-564.1693