Faculty Profiles - MATSUMOTO, Tetsuya

Papers - MATSUMOTO, Tetsuya

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Finding the Correspondence of Audio-Visual Events by Object Manipulation Reviewed

K.Nishibori, Y.Takeuchi, T.Matsumoto, H.Kudo, N.Ohnishi

IEEJ Trans. on Electronics, Information and Systems Vol. 128 ( 2 ) page： 242-252 2008.2

Modified lawn weed detection: utilization of edge-color based SVM and grass-model blob inspection filterbank Reviewed

U.Watchareeruetai, Y.Takeuchi, T.Matsumoto, H.Kudo, N.Ohnishi

Proc. of 14th Int. Conf. on Neural Information Processing (ICONIP2007) page： 111 2007.11

Blind Source Separation Coping with the Change of the Number of Sources Reviewed

M.Ito, N.Ohnishi, A.Mansour, M.Kawamoto

Proc. of 14th Int. Conf. on Neural Information Processing (ICONIP2007) page： 199 2007.11

Gauss-Newton Particle Filter Reviewed

H.Cao, Y.Takeuchi, T.Matsumoto, H.Kudo, N.Ohnishi

IEICE TRANSACTIONS Vol. E90-A ( 6 ) page： 1235-1239 2007.6

Language：English Publishing type：Research paper (scientific journal)

The extended Kalman filter (EKF) and unscented Kalman filter (UKF) have been successively applied in particle filter framework to generate proposal distributions, and shown significantly improving performance of the generic particle filter that uses transition prior, i.e., the system state transition prior distribution, as the proposal distribution. In this paper we propose to use the Gauss-Newton EKF/UKF to replace EKF/UKF for generating proposal distribution in a particle filter. The Gauss-Newton EKF/UKF that uses iterated measurement update can approximate the optimal proposal distribution closer than EKF/UKF, especially in the case of significant nonlinearity in the measurement function. As a result, the Gauss-Newton EKF/UKF is able to generate and propagate the proposal distribution for each particle much better than EKF/UKF, thus further improving the performance of state estimation. Simulation results for a nonlinear/non-Gaussian time-series demonstrate the superior estimation accuracy of our method compared with state-of-the-art filters.

A lawn weed detection in winter season based on color information Reviewed

U.Watchareeruetai, Y.Takeuchi, T.Matsumoto, H.Kudo, N.Ohnishi

Proc. of MVA 2007 IAPR Conference on Machine Vision Applications page： 524-527 2007.5

e-Learningにおけるベイジアンネットワークを用いた学習者特性の推定

寿真田志, 松本哲也, 大西　昇

電子情報通信学会技術研究報告 Vol. 106 ( ET2006-141 ) page： 203-208 2007.3

Retrieval-Combination 法を用いた単眼画像からの3次元人物推定 Reviewed

映像情報メディア学会誌 Vol. 61 ( 2 ) page： 223-233 2007.2

近似Chamfer距離とカーネル部分空間を用いたシルエット画像からの三次元人物姿勢推定

曹　暉, 大西　昇, 田中敏光, 杉江　昇

電子情報通信学会技術研究報告 Vol. 106 ( PRMU2006-215 ) page： 53-58 2007.2

DETERMINATION OF CORRESPONDENCE BETWEEN AUDIO AND VISUAL EVENTS THROUGH ACTIVE MOTION Reviewed

Proc. of International Workshop on Advanced Image Technology (IWAIT 2007) page： 620-625 2007.1

Fast Human Pose Retrieval Using Approximate Chamfer Distance Reviewed

Vol. 126 ( 12 ) page： 1490-1496 2006.12

音源数の変化を伴う音源分離 Reviewed

清水浩毅, 伊藤雅紀, 竹内義則, 松本哲也, 工藤博章, 大西　昇

電子情報通信学会論文誌 Vol. J89-A ( 10 ) page： 840-843 2006.10

Lawn Weeds Detection Methods Using Image Processing Techniques

Vol. 106 ( PRMU2006-115 ) page： 65-70 2006.10

物体への働きかけによる視聴覚事象の対応付け

西堀研人, 竹内義則, 松本哲也, 工藤博章, 大西　昇

日本神経回路学会全国大会講演論文集 page： 66-67 2006.9

感情認識における画像情報と音声情報の統合

青田　亨, 松本哲也, 竹内義則, 工藤博章, 大西　昇

情報科学技術フォーラム（FIT）講演集 page： K-059 2006.9

検索―組合せ法を用いた単眼画像からの三次元人物姿勢推定

曹　暉, 大西　昇, 竹内義則, 松本哲也, 工藤博章

情報処理学会研究報告 Vol. 2006 ( 2006-CVIM-155 ) page： 81-88 2006.9

Computer vision based methods for detecting weeds in lawns Reviewed

U.Watchareeruetai, Y.Takeuchi, T.Matsumoto, H.Kudo, N.Ohnishi

Machine Vision and Applications Vol. 17 page： 287-296 2006.8

Fast Human Pose Retrieval Using Eigen-Chamfer Distance

Hui CAO, Yoshinori TAKEUCHI, Tetsuya MATSUMOTO, Hiroaki KUDO, Noboru OHNISHI

page： 1249-1254 2006.7

指向性マイクロホンの近接配置における周波数領域ブラインド音源分離の性能評価 Reviewed

清水浩毅, 伊藤雅紀, 竹内義則, 松本哲也, 工藤博章, 大西昇

電子情報通信学会論文誌(A) Vol. J89-A ( 6 ) page： 485-493 2006.6

Computer Vision Based Methods for Detecting Weeds in Lawns Reviewed

U.Watchareeruetai, Y.Takeuchi, T.Matsumoto, H.Kudo, N.Ohnishi

Proc. of 2nd IEEE International Conference on Cybernetics Intelligent Systems page： 323-328 2006.6

Content-Based Sub-Image Retrieval by Wavelet Transform-Based LOI Features Reviewed

T.Matsumoto, N.Ohnishi

International Journal of Information Technology and Intelligent Computing Vol. 1 ( 1 ) page： 0 2006.6

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Papers - MATSUMOTO, Tetsuya