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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 23  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
09:10
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Unknown Object Segmentation by View Independent Scene Change Detection
Li Jiaxin (Nagoya Univ.), Yasutomo Kawanishi (RIKEN), Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) PRMU2022-99 IBISML2022-106
Exploring the indoor environment and finding unknown objects that appeared in a scene is important for scene understandi... [more] PRMU2022-99 IBISML2022-106
pp.211-216
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Robustness of statistical voice conversion based on waveform modification against external noise
Yusuke Kurita, Kazuhiro Kobayashi, Kazuya Takeda (Nagoya Univ.), Tomoki Toda (Nagoya Univ./JST PRESTO) EA2018-153 SIP2018-159 SP2018-115
In this report, we investigate the statistical voice conversion (VC) under noisy environments.
VC achieves conversion f... [more]
EA2018-153 SIP2018-159 SP2018-115
pp.317-322
PRMU 2017-12-17
17:00
Kanagawa   A Background Subtraction Method with an Image Set as a Background Model
Yuya Kasahara, Toru Abe, Takuo Suganuma (Tohoku Univ.) PRMU2017-111
Background subtraction method is one of the approaches for extractingthe regions of moving objects such as people and ve... [more] PRMU2017-111
pp.65-70
PRMU, IE, MI, SIP 2017-05-26
12:00
Aichi   Background Modeling based on Gaussian Mixture Model using Spatial Features
Kan Zheng, Toshio Kondo, Yuki Fukazawa, Takahiro Sasaki (Mie Univ.) SIP2017-24 IE2017-24 PRMU2017-24 MI2017-24
Many methods for detecting a moving object from surveillance video using a background model have been proposed. Mixed Ga... [more] SIP2017-24 IE2017-24 PRMU2017-24 MI2017-24
pp.125-130
MI 2015-03-03
13:40
Okinawa Hotel Miyahira Target Extraction from X-ray Image Sequence by using Gaussian Mixture Model for Lung Tumor Tracking
Naoki Shibusawa, Kei Ichiji, Yusuke Yoshida, Xiaoyang Zhang, Noriyasu Homma (Tohoku Univ.), Yoshihiro Takai (Hirosaki Univ.), Makoto Yoshizawa (Tohoku Univ.) MI2014-110
During treatment fraction, accurate tracking of moving tumor by using X-ray imaging is important for radiation therapy.
... [more]
MI2014-110
pp.277-282
IA, IN
(Joint)
2014-12-19
14:20
Hiroshima Hiroshima City University Traffic Classification on Mobile Network Considering Various Types of Network Traffic Flow
Masaki Suzuki, Masafumi Watari, Shigehiro Ano (KDDI Labs.), Masato Tsuru (Kyutech) IN2014-96
The amount of mobile traffic data has been increasing in the recent years since the smartphones have become widely used ... [more] IN2014-96
pp.29-34
MICT, WBS 2014-07-29
12:30
Osaka Osaka City Univ. (Umeda Satellite) [Poster Presentation] On BER Performance of Optical Wireless Turbo Codes with UTPA
Rai Sachin, Hiromasa Habuchi (Ibaraki Univ.) WBS2014-20 MICT2014-34
In this paper, Bit Error Ratio (BER) performance of standard and punctured turbo code with Unequal Transmission Power Al... [more] WBS2014-20 MICT2014-34
pp.63-66
PRMU, CNR 2014-02-13
16:10
Fukuoka   [Poster Presentation] Background Modeling using Exponentially Weighted Histogram
Tsubasa Minematsu, Masaki Igarashi, Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2013-142 CNR2013-50
In this paper, we propose a nonparametric background modeling for background subtraction using exponentially weighted hi... [more] PRMU2013-142 CNR2013-50
pp.99-100
PRMU 2013-02-22
16:40
Osaka   An Embedded Background Modeling Method for Detecting Object Left Behind and Very Still Person
Thi Thi Zin, Hiromitsu Hama, Takashi Toriu, Pyke Tin (Osaka City Univ.) PRMU2012-179
This paper proposes an embedded background modeling method for detecting object left behind and very still person in pub... [more] PRMU2012-179
pp.239-244
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-24
09:30
Kyoto   Object Detection based on Light Field Sensing
Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2012-106 MVE2012-71
This paper discusses about object detection based on light field sensing. Our proposed method generates an arbitrary foc... [more] PRMU2012-106 MVE2012-71
pp.205-210
PRMU, SP 2012-02-10
10:00
Miyagi   Evaluation of Case-Based Background Model
Yosuke Nonaka, Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2011-226 SP2011-141
Background subtraction is one of the important techniques for object detection. In general, there is a trade-off problem... [more] PRMU2011-226 SP2011-141
pp.179-184
PRMU, FM 2011-12-16
09:30
Shizuoka Hamamatsu Campus, Shizuoka Univ. Condition-Driven Background Modeling
Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2011-136
Background modeling and subtraction is an essential task in video surveillance applications. Many researchers have been... [more] PRMU2011-136
pp.65-70
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 2009-11-27
10:40
Ishikawa Ishikawa Industrial Promotion Center Object Detection based on Mutual Modeling between Foreground and Background
Atsushi Shimada, Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2009-120
Background modeling has been widely researched to detect moving objects from image sequences including various changes o... [more] PRMU2009-120
pp.189-194
PRMU 2009-06-18
13:55
Hokkaido Hokkaido Univ. Object Detection System using Region-Level Layered Background Subtraction and Feature Point Based Tracking
Shigeyuki Odashima, Taketoshi Mori, Masamichi Shimosaka, Hiroshi Noguchi, Tomomasa Sato (The Univ. of Tokyo) PRMU2009-45
This paper proposes an object detection method in indoor environments. With object placement and removal, the input imag... [more] PRMU2009-45
pp.31-36
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
SP, NLC 2008-12-09
11:15
Tokyo Waseda Univ. Music suppression method for single channel speech mixed with BGM using Bayesian networks
Hiroaki Itou, Takanori Nishino, Norihide Kitaoka, Kazuya Takeda (Nagoya Univ.) NLC2008-27 SP2008-82
A non-parametric stochastic method of the single-channel speech extraction from a mixture of speech and music is propose... [more] NLC2008-27 SP2008-82
pp.19-24
PRMU, HIP 2008-09-06
16:30
Kanagawa Keio Univ. Abnormal Motion Detection at Escalator Scene based on Spatio-temporal Features
Yasuhiro Murai, Hironobu Fujiyoshi (Chubu Univ.), Masato Kazui (Hitachi, Ltd.) PRMU2008-87 HIP2008-87
This paper presents a method for detecting abnormal motion at an escalator scene, in which the movement of the escalator... [more] PRMU2008-87 HIP2008-87
pp.247-254
PRMU, IE 2008-03-11
16:35
Ishikawa   Object Detection Based on Mixture of Radial Reach Filter under Varying Illumination
Tatsuya Tanaka, Atsushi Shimada (Kyushu Univ.), Daisaku Arita (ISIT), Rin-ichiro Taniguchi (Kyushu Univ.) IE2007-338 PRMU2007-322
We propose a new method for background modeling based on Radial Reach Filter(RRF) known as robust background subtraction... [more] IE2007-338 PRMU2007-322
pp.501-506
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
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