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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 21  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
MBE, NC
(Joint)
2017-12-16
09:00
Aichi Nagoya University Bristol Stool Scale Classification of Falling Simulated Stool from Spatio-Temporal Image
Chizuru Honda, Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.) MBE2017-53
The shape and hardness of stools reflect the health condition in the intestine. The Bristol Stool Scale is an index to c... [more] MBE2017-53
pp.1-6
HCGSYMPO
(2nd)
2017-12-13
- 2017-12-15
Ishikawa THE KANAZAWA THEATRE A Consideration on Mapping between Music and Background Activity of Listener
Masataka Yoshida, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.)
The aim of the study is to investigate the mapping between music and background activity. The k-means clustering results... [more]
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
PRMU, BioX 2017-03-21
11:05
Aichi   Co-Activity Detection from Multiple Videos Using Foreground Motion and Background Appearance
Keisuke Kawamura, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) BioX2016-58 PRMU2016-221
Today, there are a lot of videos annotated with text tags on the Internet. Although these tags coarsely represent the co... [more] BioX2016-58 PRMU2016-221
pp.149-154
PRMU, SP, WIT, ASJ-H 2016-06-14
09:00
Tokyo   A Study on Activity Recognition based on Temporal Change of the Temperature Distribution obtained from a Far-Infrared Sensor Array
Takayuki Kawashima, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Tomoyoshi Aizawa, Masato Kawade (OMRON) PRMU2016-44 SP2016-10 WIT2016-10
Recently, the number of single-living elderly people is increasing along the aging of our society.
Thus, there is a gr... [more]
PRMU2016-44 SP2016-10 WIT2016-10
pp.53-58
SIS 2015-12-04
11:20
Fukui Matsuya-sensen (Awara city, Fukui) Image Shrinking Based Computational Cost Reduction of Moving Area Extraction Using Global Motion Estimation with KLT Tracker and Background Subtraction
Shingo Kokami, Takashi Imagawa, Hiroshi Tsutsui, Yoshikazu Miyanaga (Hokkaido Univ.) SIS2015-46
This paper proposes a computational cost reduction method for moving area
extraction using global motion estimation wit... [more]
SIS2015-46
pp.95-98
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
MVE 2010-05-14
15:05
Kyoto Kyoto Sangyo University Extracting Regions of Objects Put on a Table in Food Preparing Activity by Complementary Use of Texture and Color Features
Atsushi Hashimoto, Takuya Funatomi, Masayuki Mukunoki, Michihiko Minoh (Kyoto Univ.) MVE2010-10
We propose a new background subtraction method for extracting objects regions from an image observing
a cooking table. ... [more]
MVE2010-10
pp.35-40
PRMU, SP, MVE, CQ 2010-01-21
09:30
Kyoto Kyoto Univ. Automatic Extraction of Moving Object from Video Frames by Graph Cut
Akihiro Matsuda, Hisashi Koga, Toshinori Watanabe (The Univ. of Electro-Comm.) CQ2009-59 PRMU2009-158 SP2009-99 MVE2009-81
Recently, much attention has been paid to the technology that works effectively for many problems in image processing by... [more] CQ2009-59 PRMU2009-158 SP2009-99 MVE2009-81
pp.13-18
ICD, ITE-IST 2009-10-02
11:00
Tokyo CIC Tokyo (Tamachi) [Invited Talk] AD Conversion Principles and CMOS Circuit Techniques
Atsushi Iwata (A-R-Tec) ICD2009-50
Many kinds of AD conversion schemes of Successive approximation, Flash, Pipelined, Delta Sigma, were proposed and integr... [more] ICD2009-50
pp.93-98
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
IE, ITS, ITE-HI, ITE-ME, ITE-AIT 2009-02-05
14:20
Hokkaido Graduate School of Information Science and Technology Hokkaido Univ Robust Vehicle Tracking to Various Brightness Conditions and an Application to the Measurement of Traffic Parameters
Tomoaki Hirooka, Wataru Mitsuhashi (The Univ of Electro-Commnications.) ITS2008-68 IE2008-238
We propose a method for detecting and tracking vehicles in multilane traffic flow by using a camera installed on an over... [more] ITS2008-68 IE2008-238
pp.195-200
PRMU 2008-10-24
14:50
Tokushima Tokushima Univ. Robust Background Subtraction by Statistic Reach Feature
Kenji Iwata, Yutaka Satoh, Ryushi Ozaki, Katsuhiko Sakaue (AIST) PRMU2008-105
A statistic reach feature (SR feature) is defined as two arbitrary points that keep the sign of increase and decrease of... [more] PRMU2008-105
pp.97-102
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
17:35
Ishikawa   A Robust Method to Detect the Intruded Objects Under the Varying Illumination Based on the Background Subtraction
Yuki Noda, Tadashi Naruse (Aichi Pref. Univ.) IE2007-340 PRMU2007-324
We discuss a method to detect intruding objects under the varying illuminance environment.
The method uses the backgrou... [more]
IE2007-340 PRMU2007-324
pp.513-518
PRMU 2008-02-22
10:45
Ibaraki Univ. of Tsukuba Handwritten Chinese Character Recognition by Background Propagation Method
Takafumi Fukui, Michio Umeda (Osaka Electro Communication Univ.) PRMU2007-233
In the field of character recognition, many feature extraction methods are proposed.
Those are the methods extract feat... [more]
PRMU2007-233
pp.111-116
KBSE, JSAI-KBS 2006-01-24
15:50
Kanagawa Keio Univ.(Hiyoshi) English Title
Hidefumi Machida, Ning Zhong (Maebashi Inst. Tech.)
The MVF (Market Value Function) based system has been developed as an application of data mining for targeted marketing ... [more] KBSE2005-35
pp.49-54
PRMU, HIP 2006-01-19
16:20
Osaka Osaka Univ. [Special Talk] *
Takahashi, Kitamura, konuma, Miyoshi (Hitachi)
An automatic monitor system of a road and the plant which processes a camera image by an image processing device was put... [more] PRMU2005-147 HIP2005-117
pp.67-74
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