機械学習を用いたひったくりを自動検知する知的防犯カメラ

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: 2016/03/01

タイトル(英語): A Study on Intelligent Security Camera for Automated Detection of Snatching Incident by Using Machine Learning System

著者名: 長山　格（琉球大学工学部情報工学科）

著者名(英語): Itaru Nagayama (Department of Information Engineering, University of the Ryukyus)

キーワード: 犯罪行為，機械学習，防犯カメラ，ひったくり，社会システム　　Criminal Incident，Machine Learning，Security Camera，Snatching，Social System

要約(英語): In this paper, we propose an intelligent security camera system for automated detection of snatching incident. Also, BSAM(Basic Snatching Action Model) is presented to give a definition of the snatching incident. The localization of moving objects in a video stream and human behavior estimation are key techniques for the proposed system. Some motion characteristics are determined from video streams, and using Support Vector Machine, the system automatically classifies the situation of the video streams into criminal or non-criminal scenes. After constructing the classifier, we use test sequences that are continuous video streams of human behavior consisting of several actions in succession. We consider four types of scenarios for the experiments of the snatching incident. The experimental results show that the system can effectively detect criminal scenes at 95.6% accuracy.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.3 （2016） 特集：機械学習が拓くシステムイノベーション

本誌掲載ページ: 253-261 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/136/3/136_253/_article/-char/ja/