行動認識のための角度変位量子化特徴の検討

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: 2015/04/01

タイトル(英語): Quantized Feature with Angular Displacement for Activity Recognition

著者名: 山辺　智晃（東京電機大学），片岡　裕雄（東京大学），中村　明生（東京電機大学）

著者名(英語): Tomoaki Yamabe (Tokyo Denki University), Hirokatsu Kataoka (The Univeristy of Tokyo), Akio Nakamura (Tokyo Denki University)

キーワード: 行動認識，姿勢ベース特徴，角度量子化特徴，ランダムフォレスト　　Activity Recognition，Pose-based Feature，Quantized Feature with Angular Displacement，Random Forests

要約(英語): We propose quantized feature with angular displacement for pose-based activity recognition. We calculate a 3D joint angle from three postural coordinates. The angular displacement should be quantized since joint angle includes errors due to system noises and similar posture. To investigate appropriate features, we propose four kinds of quantization levels; binarization, ternarization, quaternarization, and quinarization. We apply quantized features in order to improve pose-based activity recognition with the UTKinect-Action Dataset. In the experiment, we show the appropriate feature for activity recognition. As the result, the ternarized feature achieves the highest recognition rate in average. The recognition rate of trials with ternarized feature is improved 2.4% to one with no-quantized feature, and 1.8% to conventional method.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.135 No.4 （2015） 特集：知覚情報技術の最前線

本誌掲載ページ: 372-380 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/135/4/135_372/_article/-char/ja/