人混み状況下におけるひったくりを自動検知する次世代型スマート防犯カメラ

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: 2016/10/01

タイトル(英語): Study on Smart Security Cameras for Automated Detection of Snatching Incidents in Crowds using AI Systems

著者名: 長山　格（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），島袋　航一（琉球大学大学院理工学研究科情報工学専攻）

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

キーワード: 複数人数，犯罪行為，非線形SVM，防犯カメラ，ひったくり　　several persons，criminal incident，nonlinear SVM，security camera，snatching

要約(英語): In this paper, we propose a smart security camera system for the automated detection of snatching incidents in crowds. Although half of all snatching incidents happened in the presence of other people and witnesses exist, this has not been considered in previous studies. Thus, SAMC (snatching action model in crowds) is presented in this paper for the automated detection of snatching incidents in crowded areas. Certain characteristics of motion are determined from video streams, and using a nonlinear support vector machine the system automatically classifies the situation of the video streams into criminal or non-criminal scenes. We consider many types of scenarios to perform experiments regarding snatching incidents in crowds. The experimental results show that the system can effectively detect snatching incidents with an accuracy of 96.87%.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.136 No.10 （2016） 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: 711-718 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/136/10/136_711/_article/-char/ja/