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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2011-02-18
14:30		 Saitama   Probabilistic Background Texture Modeling for Object Detection
Satoshi Yoshinaga, Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2010-232		 We propose a new method of background modeling, which is considering the background texture, to detect objects. Many bac... [more] PRMU2010-232
pp.153-158
PRMU 2009-03-14
15:30		 Miyagi Tohoku Institute of Technology Object Segmentation Based on Adaptive Background Model Considering Spatio-temporal Features
Tatsuya Tanaka, Atsushi Shimada (Kyushu Univ.), Daisaku Arita (ISIT), Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2008-282		 We propose a new method for background modeling considering spatio-temporal features. Our method consists of three compl... [more] PRMU2008-282
pp.281-286
PRMU, IE 2008-03-11
17:05		 Ishikawa   Object Detection Based on Gaussian Mixture Predictive Background Model under Varying Illumination
Atsushi Shimada, Tatsuya Tanaka (Kyushu Univ.), Daisaku Arita (ISIT), Rin-ichiro Taniguchi (Kyushu Univ.) IE2007-339 PRMU2007-323		 We propose a new method to create adaptive background models. Traditionally, each pixel has an adaptive background mode... [more] IE2007-339 PRMU2007-323
pp.507-512
MVE 2005-11-25
09:15		 Kagoshima Amami-Oshima Abnormality Extraction by Utilizing Video and Audio Sensors toward Human Action Recognition
Takashi Hattori, Yoshinari Kameda, Yuichi Ohta (Univ. of Tsukuba) 		A stable and robust human action recognition is necessary for realization of high-value added living environments.Our pu... [more] MVE2005-51
pp.31-36
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