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LI-008 Feature Selection By AdaBoost For SVM-Based Face Detection
https://ipsj.ixsq.nii.ac.jp/records/147789
https://ipsj.ixsq.nii.ac.jp/records/147789564118cb-2b9d-4216-b3e4-8effac025ece
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
KJ00006430978.pdf (574.6 kB)
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Copyright (c) 2004 by IEICE,IPSJ
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| Item type | FIT(1) | |||||||||
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| 公開日 | 2004-08-20 | |||||||||
| タイトル | ||||||||||
| 言語 | en | |||||||||
| タイトル | LI-008 Feature Selection By AdaBoost For SVM-Based Face Detection | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||
| 資源タイプ | conference paper | |||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| The Graduate University for Advanced Studies | ||||||||||
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| en | ||||||||||
| The Graduate University for Advanced Studies:National Institute of Informatics | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| National Institute of Informatics | ||||||||||
| 著者名(英) |
LE, Duy Dinh
× LE, Duy Dinh
× SATOH, Shin'ichi /
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| 論文抄録(英) | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | In this paper, we present a three-stage method to speed up a SVM-based face detection system. In this proposed system, a large number of simple non-face patterns are rejected quickly by two first stage cascaded classifiers using flexible sizes of analyzed windows while the last stage uses a non linear SVM classifier to robustly classify complex 24x24 pixel patterns as either faces or non-faces. For all stage classifiers, an optimal subset of overcomplete Haar wavelet feature set selected by AdaBoost learning is used to achieve both fast and high detection rate. Experimental results show that our system can achieve comparable results to state of the art face detection systems. | |||||||||
| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AA1197723X | |||||||||
| 書誌情報 |
情報科学技術レターズ 巻 3, p. 183-186, 発行日 2004-08-20 |
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| 出版者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||
