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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 36  /  [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
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-22
13:00
Online Online Tracking System of Bowling Ball Based on Image Processing Using Multiple Cameras
Khoo ShaoChuen, Ryosuke Sakai, Genki Suzuki, Hiroyuki Shioya (Muroran IT)
This paper presents a tracking system of bowling ball trajectory for sports coaching. First, pitching form videos of the... [more]
IMQ, HIP 2020-08-21
14:30
Online Online Development and accuracy verification of a simple bus passenger counting system using image processing
Shina Takano, Takeshi Natsuno, Yuukou Horita (Univ. of Toyama) IMQ2020-1 HIP2020-21
In rural areas, although the environment surrounding public transportation is harsh, residents need regional public tran... [more] IMQ2020-1 HIP2020-21
pp.1-4
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
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, 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 2016-03-11
12:00
Tokyo Tokyo City Univ. A robust background subtraction algorithm and MRCoHOG for detection boats on the sea
Naoki Matsubara, Kouji Okumura (Kyutech), Shaoning Pang (UNITEC), Hakaru Tamukoh (Kyutech) SIS2015-68
Recently, overexploitation by IUU (Illegal, unreported and unregulated) fishing becomes a big problem.
Illegal fishing ... [more]
SIS2015-68
pp.117-122
MBE, NC
(Joint)
2015-12-19
15:50
Aichi Nagoya Institute of Technology Liquid Volume Estimation by Single-board computer toward Simple Urine Volume Management
Chizuru Honda, Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.) MBE2015-75
Inpatients of cardiovascular disease need to measure urine volume every day in order to manage water content in the body... [more] MBE2015-75
pp.73-78
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
NC, MBE 2015-03-17
16:15
Tokyo Tamagawa University Effectiveness of Background Subtraction Method and Noise Reduction in Binary Images as for Estimating Volume of Liquid Imitating Male Urination
Atsushi Isomura, Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.), Eiichi Watanabe (Fujita Health Univ.) MBE2014-141 NC2014-92
Our study aims to estimate the total volume and flow rate of male urination by camera. A convenient way of measuring uri... [more] MBE2014-141 NC2014-92
pp.139-144
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
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
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2012-02-21
15:20
Hokkaido Hokkaido Univ. Improvement of an Image Object Extraction Method for Remote Collaboration Support System "t-Room"
Yuzuru Nakamura, Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) ITS2011-56 IE2011-132
To alleviate the problem of “visual echo” for a recent remote collaboration support system called “t-Room”, an backgroun... [more] ITS2011-56 IE2011-132
pp.325-330
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
CQ, MVE, IE
(Joint) [detail]
2011-03-07
13:10
Nagasaki Yasuragi IOUJIMA Cooking Support System Utilizing Built-in Cameras and Projectors (Title)
Shunsuke Morioka, Hirotada Ueda (Kyoto Sangyo Univ.) IE2010-152 MVE2010-140
This paper proposes a new cooking support system. The camera and the projector are installed above the kitchen counter. ... [more] IE2010-152 MVE2010-140
pp.37-41
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, MVE, IPSJ-CVIM [detail] 2011-01-21
17:35
Shiga   Object Detection on Interactive Display under Indoor Lighting Environment
Takashi Fujikawa, Satoshi Nishiguchi (OIT) PRMU2010-205 MVE2010-130
There are researches of interactive system in which we can sense that remote interlocutor and local objects exist in the... [more] PRMU2010-205 MVE2010-130
pp.417-422
CS, IPSJ-AVM, ITE-BCT, IE [detail] 2010-12-02
10:50
Kyoto Nagoya Univ Free-viewpoint Image Generation using Moving Object Extraction
Kazuma Suzuki (Nagoya Univ.), Norishige Fukushima (Nagoya Inst. Tech.), Tomohiro Yendo, Mehrdad Panahpour Tehrani (Nagoya Univ.), Toshiaki Fujii (Tokyo Inst. Tech.), Masayuki Tanimoto (Nagoya Univ.) CS2010-53 IE2010-92
In this paper, we propose a method of free-viewpoint image generation using moving object extraction. In free-viewpoint ... [more] CS2010-53 IE2010-92
pp.11-16
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