並列タイトル等Plan-Intention-Event Framework for Scene Analysis Based on Robot Audition and Plan Recognition
一般注記This thesis addresses scene analysis, which is essential for environmental monitoring and understanding. The main problems for scene analysis are twofold; extraction of attributes and reconstruction of scene structure from signal data obtained from sensors. To resolve them, we propose a scene analysis framework by combining unified event extraction and stochastic plan recognition. Unified event extraction considers the probabilistic relationship between attributes of a scene event to extract attributes more accurately than conventional methods dealing with attributes separately. Stochastic plan recognition structures the extracted events with back-ground knowledge, which yields plausible reconstruction of scene structure. This thesis also shows effectiveness of the proposed framework by introducing three applications: cooking recognition, bird song analysis, and web session log monitoring.
identifier:oai:t2r2.star.titech.ac.jp:50359915
コレクション(個別)国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
受理日(W3CDTF)2018-04-03T03:53:09+09:00
連携機関・データベース国立国会図書館 : 国立国会図書館デジタルコレクション