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人の輪郭と局所特徴量を用いた立礼教育システムにおける屈体角度の推定

人の輪郭と局所特徴量を用いた立礼教育システムにおける屈体角度の推定

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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: 2015/12/01

タイトル(英語): Estimation of Bowing Angle for Ritsurei Teaching System using Human Body Contour and Local Features

著者名: 梶原 祐輔(立命館大学情報理工学部情報システム学科),木村 春彦(金沢大学大学院 自然科学研究科)

著者名(英語): Yusuke Kajiwara (College of Information Science and Engineering, Ritsumeikan University), Haruhiko Kimura (Graduate school of Natural Science and Technology, Kanazawa University)

キーワード: 立礼,屈体角度,AKAZE特徴量,粒子フィルタ,K近傍法  Ritsurei in Japanese Bowing,Bowing Angle,AKAZE Features,Particle Filter,K-Nearest Neighbor Algorithm

要約(英語): In Japan, we frequently bow to various people in daily life. Therefore, we should acquire the polite ritsurei so that we don't give the other party the unpleasant. The goal of the research is development of ritsurei teaching system which is composed of ritsurei evaluation phase and user teaching phase. The ritsurei evaluation phase evaluates ritsurei based on position of human body as back of the head, the back, and the waist. However, it is difficult to track these positions. Because back of the head, the back, and waist have little characteristic pattern. In this paper, we estimate bowing angle by tracking relative movements of local features on human body contour. Experimental results have shown that the proposed method has increased estimation accuracy of angle by 40% compared with the system which tracks back of the head, the back, and the waist without contour of human body. In addition, identification accuracy of proposed system has been equal to identification accuracy of marker tracking system.

本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.135 No.12 (2015) 特集:電気・電子・情報関係学会東海支部連合大会

本誌掲載ページ: 1555-1564 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/135/12/135_1555/_article/-char/ja/

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