患者みまもり機能の自働化に向けたベッド位置の検出

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: 2018/06/01

タイトル(英語): Detection of Bed Position for Automation of Patient Monitoring Function

著者名: 井上　円（アイホン（株）／名古屋工業大学），安井　俊之（TakumiVision（株）），田口　亮（名古屋工業大学），梅崎　太造（名古屋工業大学／東京大学）

著者名(英語): Madoka Inoue (Aiphone Co., Ltd./Nagoya Institute of Technology), Toshiyuki Yasui (TakumiVision Co., Ltd.), Ryo Taguchi (Nagoya Institute of Technology), Taizo Umezaki (Nagoya Institute of Technology/The University of Tokyo)

キーワード: 物体検出，逆射影変換，鳥瞰図，HOG，SVM　　object detection，IPM，Bird's-Eye View，HOG，SVM

要約(英語): In hospitals, in order to prevent a patient from falling and fall accidents, there is an increasing demand to detect a lifting movement and a leaving-off movement of a patient with a camera installed in a hospital room. As a measure for efficiently detecting these operations, a process of specifying a bed position which is an occurrence position of an action is effective. We propose a method to detect bed position from image of monocular camera, using image features and framework of machine learning. By generating a viewpoint conversion image for an input image, a uniform bed shape is acquired even for images at different camera positions. Evaluation was made with 2160 still images and 3888 scene moving images to confirm the usefulness of the method.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.138 No.6 （2018） 特集：臨床・介護モニタリング研究の新展開

本誌掲載ページ: 670-677 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/138/6/138_670/_article/-char/ja/