| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, WBS, RCC | 2023-12-22 14:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Fundamental study on Micro Micro-Doppler Detection of Moving Drone using Millimeter Millimeter-wave Fast Chirp Modulation Radar Dovchin Tsagaanbayar, Kenshi Ogawa, Ryohei Nakamura (NDA)  WBS2023-58 ITS2023-41 RCC2023-52 |
It is important to realize a system to detect and monitor drones, and radar is one of the effective detection technologi... [more] | WBS2023-58 ITS2023-41 RCC2023-52 pp.156-160 |
| SeMI, RCS, RCC, NS, SR (Joint) |
2023-07-13 16:00 |
Osaka | Osaka University Nakanoshima Center + Online (Primary: On-site, Secondary: Online) |
An Initial Study on Object Detection under Car Body with Wi-Fi CSI Riku Tokumine, Masakatsu Ogawa (Sophia Univ.), Atsuhiro Takahashi, Hideto Shimada, Kentaro Mizuno (Toyota CRDL) SeMI2023-34 |
Detecting the passage of objects under the car is essential because the obstacles under the car interfere with the car's... [more] | SeMI2023-34 pp.58-62 |
| 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 |
|
| PRMU, BioX | 2017-03-21 15:25 |
Aichi | Aggregating Appearance and Motion Information using LSTM for Moving Object Detection Tuan Tu Trinh, Ryota Yoshihashi, Rei Kawakami (Todai), Shaodi You (Data61-CSIRO, ANU), Makoto Iida, Takeshi Naemura (Todai) BioX2016-70 PRMU2016-233 |
Recently, Convolutional Neural Networks (CNNs) have shown impressive results in still image data for the reason that the... [more] | BioX2016-70 PRMU2016-233 pp.221-226 |
|
| IE | 2016-07-01 15:15 |
Okinawa | Local Motion Removal based Dynamic Camera Calibration for Synthesizing Free Viewpoint Soccer Video Qiang Yao, Keisuke Nonaka, Hiroshi Sankoh, Sei Naito (KDDI Labs) IE2016-44 |
Accurate camera parameter is regarded as a key factor in generating free viewpoint video with a high quality. Video regi... [more] | IE2016-44 pp.49-53 |
|
| SAT, WBS (Joint) |
2016-05-20 10:45 |
Aichi | Nagoya Institute of Technology | A Study on Moving Object Positioning Method using Multi-static Ultra-wideband Sensor Ryohei Nakamura, Hisaya Hadama (National Defense Academy) WBS2016-10 |
The ultra-wideband (UWB) radio sensor systems which can accurately detect a distance and behavior of a moving object are... [more] | WBS2016-10 pp.53-58 |
| EA, SP, SIP | 2016-03-28 13:15 |
Oita | Beppu International Convention Center B-ConPlaza | [Poster Presentation]
An Investigation into the Attenuation Depending on the Distance in the Watching System Using an Electromagnetic Wave Takuya Ukai (NBU), Hiroki Funabashi (CIT), Manabu Fukushima (NBU), Syun'ichi Kawano (artnet), Yoshitaka Kondo (J-TEC), Mitsuo Matsumoto, Hirofumi Yanagawa (CIT) EA2015-79 SIP2015-128 SP2015-107 |
This paper describes the relationship between the attenuation and the distance measured with an doppler sensor using ele... [more] | EA2015-79 SIP2015-128 SP2015-107 pp.75-80 |
| ET | 2013-07-27 16:55 |
Kumamoto | Kumamoto University | Automatic Moving Persons Detection in Lecture Scene Hiroki Nishino, Takeshi Saitoh (Kyushu Inst. of Tech.) ET2013-27 |
Our aim is to develop an assist system for analyzing the effect of active learning. As the first trial, this paper propo... [more] | ET2013-27 pp.47-52 |
| SR, AN, USN, RCS (Joint) |
2012-10-19 10:25 |
Fukuoka | Fukuoka univ. | A Novel Double Detection Communication Range Recognition Method for Indoor Position Estimation in Passive RFID Systems Manato Fujimoto, Atsuki Inada, Tomotaka Wada (Kansai Univ.), Kouichi Mutsuura (Shinshu Univ.), Hiromi Okada (Kansai Univ.) USN2012-47 |
Radio Frequency IDentification (RFID) systems have become popular as a new identification source that is applicable in u... [more] | USN2012-47 pp.107-112 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2012-02-20 15:20 |
Hokkaido | Hokkaido Univ. | Detection of 3D points on moving objects from point cloud data based on luminance variation for 3D modeling of outdoor environments Tsunetake Kanatani (Hyogo Pref. Inst. of Tech./NAIST), Hideyuki Kume, Takafumi Taketomi, Tomokazu Sato, Naokazu Yokoya (NAIST) ITS2011-42 IE2011-118 |
A 3D modeling technique for an urban environment can be applied to several applications such as landscape simulation, na... [more] | ITS2011-42 IE2011-118 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 | 2008-10-23 13:10 |
Tokushima | Tokushima Univ. | Real-time object detection based on global motion estimation from MPEG motion vectors Shuhei Ohta, Takanori Yokoyama, Toshinori Watanabe, Hisashi Koga (UEC) PRMU2008-91 |
In this paper, we report a real-time moving object detection method based on global motion estimation. Because the glob... [more] |
PRMU2008-91 pp.19-24 |
| CQ, LOIS, IE, IEE-CMN, ITE-ME | 2007-09-27 09:30 |
Tokushima | The university of Tokushima | Moving Objects Tracking by Time-series Processing based on Region Estimation using Intensity and Motion Masaya Ikeda, Kan Okubo, Norio Tagawa (Tokyo Metropolitan Univ.) CQ2007-37 OIS2007-27 IE2007-34 |
For tracking moving objects, template matching method is usually used. However, it cannot cope with shape changes of a t... [more] | CQ2007-37 OIS2007-27 IE2007-34 pp.1-6 |
| CAS, SIP, VLD | 2007-06-21 09:40 |
Hokkaido | Hokkaido Tokai Univ. （Sapporo) | An Automatic Tracking Method for a Moving Object using DWT coefficients in JPEG200 Yoshihiro Kitaura, Yuki Taniike, Mitsuji Muneyasu (Kansai Univ.) CAS2007-3 VLD2007-19 SIP2007-33 |
Recently, a method for correspondence search between two images, which is called POC (Phase-Only Correlation) method, ha... [more] | CAS2007-3 VLD2007-19 SIP2007-33 pp.13-18 |
| EA, SIP | 2007-05-24 16:20 |
Osaka | Osaka Univ. | A Tracking Method for a Moving Object Based on POC Hitoshi Namba, Mitsuji Muneyasu (Kansai Univ.) EA2007-15 SIP2007-19 |
This paper proposes a tracking method for a moving object based on Phase Only Correlation (POC). The POC method can meas... [more] | EA2007-15 SIP2007-19 pp.49-54 |
| PRMU, NLC, TL | 2006-10-20 15:45 |
Tokyo | Moving region detection based on a solution to the transportation problem Sho Furukawa, Takanori Yokoyama, Toshinori Watanabe, Hisashi Koga (UEC) |
In this report , we propose a moving object detection method based on a solution the transportation problem. We regard ... [more] |
PRMU2006-114 pp.59-64 |
|
| PRMU | 2006-03-16 10:00 |
Fukuoka | Kyushu Univ. | * , , Toshikazu Wada (Wakayama Univ.) |
In the case of wide area video surveillance, it is useful to detect moving objects from image sequences taken by a pan-t... [more] | PRMU2005-238 pp.33-40 |
| IEE-CMN, OFT, OCS, ITE-BCT (Joint) |
2005-11-24 15:40 |
Osaka | The Kansai Electric Power Co.,INC. | Moving Objects Recognition by Using Line Frame Images Takefumi Setta (CEPCO), Yuki Inoue, Masahiro Hoguro, Taizo Umezaki, Akira Iwata (Nagoya Inst. of Tech.), Masahiko Fujino (CEPCO) |
In the existing methods of a moving object detection using image recognition technology, they have processed an obtained... [more] | OCS2005-75 OFT2005-43 pp.7-10(OCS), pp.41-44(OFT) |
[Return to Top Page]