画像解析による水平および奥行き方向の視線計測

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: 2019/08/01

タイトル(英語): Horizontal and Depth Eye-Gaze Detection by Image Analysis

著者名: 鈴木　圭佑（関東学院大学大学院工学研究科情報学専攻），佐藤　寛修（関東学院大学理工学部理工学科情報学系），岡本　教佳（関東学院大学理工学部理工学科情報学系），阿部　清彦（東京電機大学システムデザイン工学部情報システム工学科）

著者名(英語): Keisuke Suzuki (Graduate School of Engineering, Kanto Gakuin University), Hironobu Sato (College of Science and Engineering, Kanto Gakuin University), Noriyoshi Okamoto (College of Science and Engineering, Kanto Gakuin University), Kiyohiko Abe (School of System Design and Technology, Tokyo Denki University)

キーワード: 視線計測，輻輳眼球運動，奥行き計測，画像解析，強膜反射法　　eye-gaze detection，vergence eye movement，depth measurement，image analysis，limbus tracking method

要約(英語): Recently, several estimation methods of 3D gazing points have been proposed. Many of these are measured by pupil and corneal reflection with infrared light. This conventional method required special measuring devices for estimating 3D gazing points. We previously developed an eye-gaze detection system by image analysis under natural light. This detection system uses an eye-gaze detection method based on the image analysis for horizontal and vertical eye movements. In addition, this detection system consists of a personal computer and single home video camera. In this paper, we present the new eye-gaze detection method for depth direction. We set the new depth parameter by obtained eye-gaze characteristics both eyes. Also, we proposed a depth direction identification method using it. As a result, depth eye-gaze detection became possible by our horizontal eye-gaze detection using eye images with offline process. This detection system employs input images including both eye areas by single home video camera under natural light. Similarly, horizontal and depth eye-gaze detection became possible by combining with our horizontal direction identification method.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.139 No.8 （2019） 特集：データ駆動制御 ―モデルベースド制御とのインタープレイ―

本誌掲載ページ: 910-918 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/139/8/139_910/_article/-char/ja/