予測確率を用いた軟性膀胱鏡操作の時系列パターン認識

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: 2011/12/01

タイトル(英語): Time-Series Pattern Recognition of Handling Techniques for Flexible Cystoscope Using Prediction Probability

著者名: 中村　宗広（金沢大学大学院自然科学研究科），梶原　祐輔（金沢大学大学院自然科学研究科），金谷　二郎（田谷泌尿器科医院），木村　春彦（金沢大学大学院自然科学研究科）

著者名(英語): Munehiro Nakamura (Graduate School of Natural Science and Technology, Kanazawa University), Yusuke Kajirawa (Graduate School of Natural Science and Technology, Kanazawa University), Jiro Kanaya (Taya Clinic), Haruhiko Kimura (Graduate School of Natural Science and Technology, Kanazawa University)

キーワード: 時系列データ，予測確率，パターン認識，軟性膀胱鏡　　time-series data，prediction probability，pattern recognition，flexible cystoscope

要約(英語): To improve prediction accuracy in pattern recognition, many approaches using multiple classifiers are being presented nowadays. On the other hand, pattern recognition to time-series data such as video sequences are still challenging due to the real-time requirement. In this paper, we present a novel method for pattern recognition of video sequences using prediction probability calculated by a pattern classifier. Generally, in applying pattern classifier to video sequences, predicted classes are often partially fragmented. From the idea that prediction probabilities of the video sequences which have same recognition pattern would be similar to each other, the proposed method corrects the fragmented classes to correct one using the similarity of prediction probabilities. Evaluation experiments have shown that the proposed method works well to the system which estimates handlings for flexible cystoscope.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.131 No.12 （2011） 特集：電気関係学会東海支部連合大会

本誌掲載ページ: 2226-2227 p

原稿種別: 研究開発レター／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/131/12/131_12_2226/_article/-char/ja/