テクスチャ特徴量を用いた夜間道路映像の湿潤状態判別

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: 2012/09/01

タイトル(英語): Distinction of Wet Road Surface Condition at Night-time using Texture Features

著者名: 柴田　啓司（富山大学大学院理工学研究部），古金　達也（富山大学大学院理工学研究部），河合　翔平（富山大学工学部知能情報工学科），堀田　裕弘（富山大学大学院理工学研究部）

著者名(英語): Keiji Shibata (Graduate School of Science and Engineering for Education., University of Toyama), Tatsuya Furukane (Graduate School of Science and Engineering for Education., University of Toyama), Shohei Kawai (Faculty of Engineering, University of Toyama), Yuukou Horita (Graduate School of Science and Engineering for Education., University of Toyama)

キーワード: 路面状態，夜間，共起行列，監視カメラ　　road surface condition，night-time，co-occurence matrix，surveillance video camera

要約(英語): The necessity of distinguishing of the road surface condition at night-time is increasing because most of the previously proposed method corresponds only to daytime. In this paper, we propose a distinction method of road surface condition by using only video information acquired from visible surveillance video camera. The feature of this method is simply to use the cars' headlights as the light source. As the result, it became possible to distinguish the road surface conditions such as dry and wet with high accuracy by using this method.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.132 No.9 （2012） 特集：有機半導体－材料・デバイス・評価技術

本誌掲載ページ: 1488-1493 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/132/9/132_1488/_article/-char/ja/