天井カメラを用いて観測された身体動揺における自己遮蔽の影響を考慮した人物対応付け

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: 2020/06/01

タイトル(英語): Identification of People by Measuring Body Sway with Self-Occlusion using Top-View Camera

著者名: 神谷　卓也（鳥取大学大学院 工学研究科），山口　優太（鳥取大学大学院 工学研究科），西山　正志（鳥取大学大学院 工学研究科），岩井　儀雄（鳥取大学大学院 工学研究科）

著者名(英語): Takuya Kamitani (Graduate School of Engineering, Tottori University), Yuta Yamaguchi (Graduate School of Engineering, Tottori University), Masashi Nishiyama (Graduate School of Engineering, Tottori University), Yoshio Iwai (Graduate School of Engineering, Tottori University)

キーワード: 身体動揺，自己遮蔽，人物対応付け　　body sway，self-occlusion，identification

要約(英語): We propose a method for identifying people using body sway measured from head regions under a condition that a top-view camera observes bodies disturbed by self-occlusion. In order to correctly represent identities of body sway, it is necessary that the appearances of people are accurately acquired from the camera. However, the deficits of the appearances are contained when occuring self-occlusion. The deficits cause a problem that the identification performance of an existing method is wrongly degraded because the method uses whole-body regions to represent identities. To overcome the problem of self-occlusion, we represent identities of body sway by using head regions acquired from a top-view camera. Our method computes the silhouette images of the head regions by applying a segmentation technique. To represent identities of body sway, we temporally measure the movements of the head regions by spatially dividing them into local regions. The experimental results show that the identification performance improved from 17.3 % using the whole-body regions of the existing method to 57.9 % using the head regions of our method.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.140 No.6 （2020） 特集：来るべきIoT社会に向けた情報通信技術

本誌掲載ページ: 629-637 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/140/6/140_629/_article/-char/ja/