ひったくり発生を直前に予測する超次世代型知的防犯カメラシステムに関する研究

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: 2023/02/01

タイトル(英語): Advanced Intelligent Security Camera System for the Prediction of Snatching using Machine Learning

著者名: 長山　格（琉球大学工学部知能情報コース）

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

キーワード: 防犯カメラ，挙動予測，機械学習，ひったくり，全身反応時間　　security camera，motion prediction，machine learning，snatching incident，whole body reaction time

要約(英語): In this paper, we propose predictive advanced intelligent security camera system that can predict a snatching incident before its occurrence on streets. In our past studies, although we have been engaged automated detection of snatching incidents using machine learning techniques and we have been proposed many systems, they are not enough to prevent snatching incidents. Therefore, we are now engaging new studies on prediction of snatching using motion prediction techniques. We are developing PASCAS that can predict the occurrence of snatching from sequential videos observed in criminal scenes. It can predict the situations into criminal or non-criminal scenes. The experimental results show that PASCAS can effectively predict snatching incidents with an accuracy of 94.25%。

本誌: 電気学会論文誌D（産業応用部門誌） Vol.143 No.2 （2023） 特集：ドローンとロボット組み込み/サスティナブルシステム

本誌掲載ページ: 125-131 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/143/2/143_125/_article/-char/ja/