Fast Method for Face Detection Based on the Characteristic of Cascade Classifier

• Item type: Trans(1)
• 公開日: 2011-05-11
• タイトル: Fast Method for Face Detection Based on the Characteristic of Cascade Classifier
• タイトル / 言語: en
• タイトル: Fast Method for Face Detection Based on the Characteristic of Cascade Classifier
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: Regular Paper - Research Paper
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Central Research Laboratory, Hitachi, Ltd.
• 著者所属: Central Research Laboratory, Hitachi, Ltd.
• 著者所属: Central Research Laboratory, Hitachi, Ltd.
• 著者所属(英): en
• 著者所属(英): Central Research Laboratory, Hitachi, Ltd.
• 著者所属(英): en
• 著者所属(英): Central Research Laboratory, Hitachi, Ltd.
• 著者所属(英): en
• 著者所属(英): Central Research Laboratory, Hitachi, Ltd.
• 著者名: Tomoaki, Yoshinaga; Shigeki, Nagaya; Isao, Karube
• 著者名(英): Tomoaki, Yoshinaga; Shigeki, Nagaya; Isao, Karube
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: We propose a fast method of face detection that is based on the characteristics of a cascade classifier that is called a cascade step search (CSS). The proposed method has two features. First is a gradual classification that uses only a few layers of the cascade classifier to estimate the face-likelihood distribution. Second is an efficient search that uses the face likelihood distribution. The search is operated at intervals that are optimally changed according to the likelihood. This reduces the number of sub-windows that must be processed. The face-likelihood on the image window exposes the likelihood near the window and the next scaled one. These features can reduce the costs of classifications in the face detection process. Our experiments on face detection show that the proposed method is about five times faster than the traditional searches and maintains a high detection rate.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: We propose a fast method of face detection that is based on the characteristics of a cascade classifier that is called a cascade step search (CSS). The proposed method has two features. First is a gradual classification that uses only a few layers of the cascade classifier to estimate the face-likelihood distribution. Second is an efficient search that uses the face likelihood distribution. The search is operated at intervals that are optimally changed according to the likelihood. This reduces the number of sub-windows that must be processed. The face-likelihood on the image window exposes the likelihood near the window and the next scaled one. These features can reduce the costs of classifications in the face detection process. Our experiments on face detection show that the proposed method is about five times faster than the traditional searches and maintains a high detection rate.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA12394973
• 書誌情報: IPSJ Transactions on Computer Vision and Applications（CVA）; 巻 3, p. 21-31, 発行日 2011-05-11
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-6695
• 出版者 / 言語: ja
• 出版者: 情報処理学会