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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
Okinawa | [Poster Presentation]
Speech Enhancement Using Non-Local Means Kyohei Mitani, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.)  EA2017-142 SIP2017-151 SP2017-125 |
In this paper, we propose a speech enhance method using Non-Local Means. In the proposed method, we focus on Non-Local M... [more] | EA2017-142 SIP2017-151 SP2017-125 pp.227-230 |
|
| ISEC, COMP | 2017-12-21 09:55 |
Kochi | Eikokuji Campus, Kochi University of Technology | Fundamental Study of Classification of Attackers by Multiple Honeypots Kazuya Yamashita, Okino Koji (Univ. of Toyama) ISEC2017-72 COMP2017-26 |
It is known that stored information in a honeypot is affected by its environment of observation, such as its response an... [more] | ISEC2017-72 COMP2017-26 pp.1-5 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Efficient modal regression using gradient ascent and descent method Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) IBISML2017-57 |
Nonparametric modal regression is a method for regression analysis, which can estimate local maxima of the conditional p... [more] | IBISML2017-57 pp.169-176 |
| MI | 2016-11-14 09:00 |
Tottori | Tottori Univ. | Cell detection for multiple cells with large mutual luminance difference Katsuya Kondo, Kazu Mishiba, Yuji Oyamada, Masaki Yoshikawa (Tottori Univ.), Akihiro Kurimasa (Tohoku MPU) MI2016-62 |
We propose a method for cell separation in microscopic images. In this report, it is for cells which relatively broadly ... [more] | MI2016-62 pp.1-4 |
| PRMU, BioX | 2015-03-19 14:00 |
Kanagawa | Angle Based Segmentation in Cardiovascular OCT Image Yutaka Kokawa, Haiyuan Wu, Kazumasa Suzuki (Wakayama Univ.) BioX2014-52 PRMU2014-172 |
Cardiovascular optical coherence tomography(OCT) is a catheter-based invasive imaging system. Using light rather than ... [more] |
BioX2014-52 PRMU2014-172 pp.77-82 |
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| PRMU | 2013-03-15 10:45 |
Tokyo | Performance Comparison of Appearance-based Pulmonary Nodule Detection from X-ray CT Images Takanobu Yanagihara, Hotaka Takizawa (Univ. of Tsukuba) PRMU2012-212 |
In this paper, we propose appearance-based clustering methods of false positives in X-ray CT images based on K-means, Me... [more] | PRMU2012-212 pp.193-197 |
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| PRMU, MVE, IPSJ-CVIM (Joint) [detail] |
2013-01-24 14:45 |
Kyoto | Depth-based active object tracking Yoshiaki Shimada, Toshikazu Wada (Wakayama Univ.) PRMU2012-117 MVE2012-82 |
This paper presents an active tracking system that only uses depth image taken by Kinect. From the view point of Kinect,... [more] | PRMU2012-117 MVE2012-82 pp.299-304 |
|
| PRMU | 2011-03-11 16:30 |
Ibaraki | A Study of Scene Text Extraction using Focus Point of Camera Jikai Wang, Guofeng Ma, Keiichiro Shirai, Masayuki Okamoto (Shinshu Univ.) PRMU2010-286 |
In the text extraction from scenery images, the difficulty of extraction is attributed to the unknown information of tex... [more] | PRMU2010-286 pp.287-292 |
|
| EA | 2010-10-22 09:15 |
Ishikawa | Kanazawa-city Omi-cho Koryu Plaza | Head Movements during Horizontal Sound Localization Experiment Yuki Toyoda, Daisuke Morikawa, Tatsuya Hirahara (Toyama Pref. Univ) EA2010-70 |
In this work, head movements for four human subjects were measured simultaneously by horizontal sound localization exper... [more] | EA2010-70 pp.73-78 |
| PRMU, HIP | 2010-03-15 14:55 |
Kagoshima | Kagoshima Univ. | Research on automatic lost article detection by analyzing human's walking locus Kei Terabaru, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.) PRMU2009-257 HIP2009-142 |
A lot of rescue robots that aim at the man support work are researched now. The disaster scene active of the rescue robo... [more] | PRMU2009-257 HIP2009-142 pp.139-144 |
| PRMU, SP, MVE, CQ | 2010-01-22 11:00 |
Kyoto | Kyoto Univ. | Mean Shift Tracking based on Feature Selection and Multiple Subtrakers Kohei Maruyama, Takeshi Saitoh, Ryosuke Konishi (Tottori Univ.) CQ2009-96 PRMU2009-195 SP2009-136 MVE2009-118 |
This paper proposes the Mean Shift tracking combined feature selection and multiple subtrackers. Our method has three ad... [more] | CQ2009-96 PRMU2009-195 SP2009-136 MVE2009-118 pp.267-272 |
| NC, MBE (Joint) |
2009-11-13 11:25 |
Miyagi | Tohoku Univ. | Detecting Masses in Mammograms using Mean Shift Segmentation and Iris-Filter Toshihiko Terada, Yohei Fukumizu, Hironori Yamauchi (Ritsumeikan Univ.), Hirotomi Chou, Yoshimasa Kurumi (Shiga Univ. of Medical Science) MBE2009-65 |
In recent years, many Computer Aided Diagnosis (CAD) systems are suggested. Those systems will be able to diagnose inste... [more] | MBE2009-65 pp.19-24 |
| PRMU, DE | 2008-06-19 10:30 |
Hokkaido | Otaru-Shimin-Kaikan | Traffic Sign Recognition from Video Images for Geographic Information System Masataka Sugimoto, Ryo Nagahashi, Yasuyuki Sugaya, Yasushi Kanazawa (Toyohashi Univ. of Tech.), Yoshihiro Ito, Kiyohisa Sato (MapQuest Co.) DE2008-3 PRMU2008-21 |
For creating the traffic sign database on GIS, we propose a method for recognizing traffic signs from video images. The... [more] | DE2008-3 PRMU2008-21 pp.13-18 |
| PRMU, IE | 2008-03-11 13:00 |
Ishikawa | [Tutorial Lecture]
* Kazunori Okada (San Francisco State Univ.) IE2007-324 PRMU2007-308 |
Mean shift is a popular robust framework for statistical data analysis using kernel density estimation, originally propo... [more] | IE2007-324 PRMU2007-308 pp.401-414 |
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| PRMU | 2007-10-26 13:40 |
Miyagi | Hotel Matsushima Daikansou | Body-part Segmentation fro a Real Human Wearing Multiple-Colored Suit by a Mean Shift Based Algorithm Huimin Guo, Jun Okazaki, Dong-Wan Kang, Jun Ohya (Waseda Univ.) PRMU2007-114 |
In this paper, we present a framework of body-part segmentation for a real human wearing multiple-colored suit, which ha... [more] | PRMU2007-114 pp.129-134 |
| PRMU, HIP | 2006-01-20 15:10 |
Osaka | Osaka Univ. | Mean Shift Tracking using Optical Flow Distribution Naoya Ooshima, Takeshi Saitoh, Ryosuke Konishi (Tottori Univ.) |
Recently, Mean Shift technique is many researched. Many Mean Shift techniques are tracking the object using color distri... [more] | PRMU2005-168 HIP2005-138 pp.111-116 |
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