動画像オブジェクトのHeuristic解析によるひったくりの自動検知

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2015/02/01

タイトル(英語): Automated Video Surveillance System for Snatching Detection Using Heuristic Analysis of Moving Objects

著者名: 知名　隆弘（琉球大学工学部情報工学科），宮原　彬（琉球大学大学院理工学研究科情報工学専攻），長山　格（琉球大学工学部情報工学科）

著者名(英語): Takahiro China (Department of Information Engineering, University of the Ryukyus), Akira Miyahara (Graduate School of Engineering, University of the Ryukyus), Itaru Nagayama (Department of Information Engineering, University of the Ryukyus)

キーワード: 防犯カメラ，動画像解析，犯罪検知，画像監視，ヒューリスティクス　　security camera，video processing，crime scene detection，video surveillance，heuristics

要約(英語): In this paper, we present an automated video surveillance system for snatching detection using a heuristic algorithm. Localization of moving targets in a video stream and human behavior estimation are key techniques in the proposed system. Some motion characteristics are determined from video streams. Using metric system of a feature vector, the system classifies video streams into criminal and non-criminal scenes. We use two kinds of action sequences for the training data set. After constructing the classifier, we use test sequences that are continuous video streams of human behavior consisting of several successive actions. The experimental results show that the system is useful in detecting criminal scenes of snatching by the discrimination of human behavior as criminal or non-criminal.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.135 No.2 （2015） 特集：Okinawa型ロボット組み込み/サスティナブルシステム

本誌掲載ページ: 99-106 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/ieejias/135/2/135_99/_article/-char/ja/