動画像の時系列解析による妨害破壊行為動作の検知
英字タイトル:
Detection of Sabotage Motion by Time Series Analysis of Video
著者:
出町 和之 Kazuyuki DEMACHI 陳 実 Shi CHEN
発刊日:
公開日:
Auto Associative Neural NetworkAuto-EncoderDeep Neural NetworkHand Motion IdentificationNuclear SecurityTime-Series Data Analysis
Detection of Sabotage Motion by Time Series Analysis of Video
著者:
出町 和之 Kazuyuki DEMACHI 陳 実 Shi CHEN
発刊日:
公開日:
カテゴリ: 第14回
キーワードタグ:Auto Associative Neural NetworkAuto-EncoderDeep Neural NetworkHand Motion IdentificationNuclear SecurityTime-Series Data Analysis
概要
In this research, a new method was developed to identify the _hand motion” of malicious sabotage behaviors. The Auto-encoder and Auto Associative Neural Network were applied for identification, and the time-series data of finger tips position were used as the training data of these Machine Learning. The identification reliability was more than 66%.
