Identification of Various View Points Object Images using Hough Data Verification

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: 2013/01/01

タイトル(英語): Identification of Various View Points Object Images using Hough Data Verification

著者名: Kazuki Ueno (Kagawa University), Jun'ichi Yamaguchi (Kagawa University)

著者名(英語): Kazuki Ueno (Kagawa University), Jun'ichi Yamaguchi (Kagawa University)

キーワード: Hough transform，Pattern matching，Matched filter，Object identification

要約(英語): The authors describe a method for object identification using Hough data verification. In this study, to cope with an image deformation by camera shooting condition change, we pay attention to a distribution pattern of Hough data. A positional relationship of the peaks as Hough data shows tendency to be kept, in case of camera shooting condition change. In the paper, the authors describe the relationship between Hough transform and shooting condition change, and explain the object identification method based on a distinction of the peak distribution pattern by Matched filter. Furthermore, a result of experiment using car images is shown. As a result, high identification rate was obtained in case of view point change. It was confirmed that our method is useful for object identification in various view points.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.1 （2013） 特集：2012 Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2012)

本誌掲載ページ: 97-102 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/1/133_97/_article/-char/ja/