1クラス推定とReal AdaBoostとを用いたロバスト顔検出

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2012/09/01

タイトル(英語): Robust Face Detection Using One-Class Estimation and Real Adaboot

著者名: 三輪　祥太郎（三菱電機（株）先端技術総合研究所），平位　隆史（三菱電機（株）先端技術総合研究所），鷲見　和彦（青山学院大学理工学部）

著者名(英語): Shotaro Miwa (Advanced Technology R&D Center, Mitsubishi Electric Corp.), Takashi Hirai (Advanced Technology R&D Center, Mitsubishi Electric Corp.), Kazuhiko Sumi (Aoyama Gakuin University)

キーワード: 顔検出，1クラス推定，AdaBoost　　Face Detection，One-Class Estimation，AdaBoost

要約(英語): We propose a robust face detection algorithm using one-class estimation and Real AdaBoost. Inspired by the first practical face detection algorithm by Viola and Jones, many varieties of face detection algorithms have been proposed. The common feature of their algorithm is a cascaded structure of combined Haar-like features trained by a boosting algorithm. Of course this framework has achieved a successful result of high detection rate and low false positive rate in a short time and has been applied to many imaging products. But because the non-face class includes multiple sub-classes and their variations are too many to be collected and covered in training data, unexpected false positives inevitably happen in the real world data. That is a problem of self-printing systems for digital cameras because they need to handle all kinds of pictures in the real world. Furthermore because they use detected face regions for image enhancement before printing, to suppress false positives is a big issue of self-printing systems.To solve the problem of false positives in the real world, we model a non-face class using one-class estimation of faces, and developed a new face detection algorithm combining one-class estimation and a cascaded face detection by Real AdaBoost. As a result of the experiment using pictures of digital cameras, we achieved about twice faster face detection with eight times lower false positives than a conventional cascaded face detector, and also more precise face size detection.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.132 No.9 （2012） 特集：有機半導体－材料・デバイス・評価技術

本誌掲載ページ: 1502-1509 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/132/9/132_1502/_article/-char/ja/