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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 10:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Vocabulary-Set Decomposition and Multi-task Learning for Target Vocabulary Extraction in Japanese Speech Recognition Aoi Ito (LINE/Hosei Univ.), Tatsuya Komatsu, Yusuke Fujita (LINE)  EA2022-102 SIP2022-146 SP2022-66 |
This paper proposes a target vocabulary extraction method for Japanese speech recognition models based on vocabulary set... [more] | EA2022-102 SIP2022-146 SP2022-66 pp.159-164 |
| SIS | 2020-12-01 14:50 |
Online | Online | A Study on Queue Area Detection Using Person Recognition and Tracking Ningyuan Li, Johei Matsuoka, Kazuya Tago (Tokyo Univ. of Tec.) SIS2020-33 |
The purpose of this study is to realize the measurement of the number of people in the queue by proposing a method for d... [more] | SIS2020-33 pp.31-34 |
| SANE | 2020-11-25 10:20 |
Online | Online | Observation of Hokkaido-Iburi-Tobu Earthquake by Deep Learning of SAR Images Yang Yu, Josaphat Tetuko Sri Sumantyo (Chiba Univ.) SANE2020-27 |
Environment of Japan is situated by steep mountains and some disasters as typhoons, heavy rains and earthquakes that cau... [more] | SANE2020-27 pp.1-6 |
| SANE | 2019-08-23 14:25 |
Tokyo | Electric Navigation Research Institute | Super-resolution Scattering Direction Estimation for Circular SAR Imagery Takuma Watanabe, Daisuke Ogawa, Yasuyuki Oishi (Fujitsu) SANE2019-41 |
Circular synthetic aperture radar (CSAR) is a microwave imaging technique which employs a circular flight trajectory of ... [more] | SANE2019-41 pp.37-42 |
| CS, CQ (Joint) |
2019-04-19 14:25 |
Osaka | Osaka Univ. Library | Construction and Demonstration Experiment of Target Spot Information Extraction System based on General Object Recognition Technology Kubo Kouki, Wuyi Yue (Konan Univ.) CQ2019-6 |
In this paper, target spot information system with two functions of "extract function of surrounding spot information" u... [more] | CQ2019-6 pp.29-34 |
| SANE, SAT (Joint) |
2019-02-14 14:15 |
Kagoshima | Tanegashima Island | Radar Target Recognition Framework with Convolutional Neural Networks Ryoma Yataka, Kazuki Hirashima, Masashi Shiraishi (MELCO) SANE2018-124 |
A Range-Doppler map is generated by processing a distant target signals measured by a radar. However, extracting feature... [more] | SANE2018-124 pp.77-82 |
| SANE | 2018-10-12 13:30 |
Tokyo | The University of Electro-Communications | Automatic Target Recognition based on Generative Adversarial Networks for Synthetic Aperture Radar Images Yang-Lang Chang, Bo-Yao Chen, Chih-Yuan Chu, Sina Hadipour (NTUT), Hirokazu Kobayashi (OIT) SANE2018-51 |
Synthetic Aperture Radar (SAR) is an all day and all weather condition imaging technique which is widely used in nationa... [more] | SANE2018-51 pp.41-44 |
| MoNA | 2018-08-03 09:45 |
Hokkaido | Otaru Citizen Center | [Encouragement Talk]
Evaluation of Utility-Based Scheduling Method for Multi UAV Surveillance System for Rescue Support Kosei Miyano, Ryoichi Miyano, Eiji Oki, Takehiro Sato (Kyoto Uni.) MoNA2018-16 |
Micro or small unmanned aerial vehicles (UAVs) are a promising solution for finding people who have disappeared because ... [more] | MoNA2018-16 pp.57-62 |
| SANE | 2018-05-14 11:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | SAVERS: SAR ATR with Verification Support Based on Convolutional Neural Network Hidetoshi Furukawa SANE2018-5 |
We propose a new convolutional neural network (CNN) which performs coarse and fine segmentation for end-to-end synthetic... [more] | SANE2018-5 pp.23-28 |
| SANE | 2018-01-25 14:50 |
Nagasaki | Nagasaki Prefectural Art Museum | Deep Learning for End-to-End Automatic Target Recognition from Synthetic Aperture Radar Imagery Hidetoshi Furukawa (Toshiba Infrastructure Systems & Solutions) SANE2017-92 |
The standard architecture of synthetic aperture radar (SAR) automatic target recognition (ATR) consists of three stages:... [more] | SANE2017-92 pp.35-40 |
| SANE | 2017-08-24 13:50 |
Osaka | OIT UMEDA Campus | Deep Learning for Target Classification from SAR Imagery
-- Data Augmentation and Translation Invariance -- Hidetoshi Furukawa (Toshiba Infrastructure Systems & Solutions) SANE2017-30 |
This report deals with translation invariance of convolutional neural networks (CNNs) for automatic target recognition (... [more] | SANE2017-30 pp.13-17 |
| MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-07 09:30 |
Fukuoka | Kyusyu Univ. Ohashi Campus | Effect of target visibility on eye movement during object recognition task Sakaguchi Hideho (NAIST/ATR), Utsumi Akira (ATR), Susami Kenji (ATR/Kinki University), Tadahisa Kondo (Kogakuin University), Kambara Makayuki (NAIST/ATR), Hagita Norihiro (ATR/NAIST) IMQ2016-41 IE2016-156 MVE2016-64 |
We conducted an experiment to track eye movements during moving target observation. In this report, we describe the rela... [more] | IMQ2016-41 IE2016-156 MVE2016-64 pp.131-135 |
| PRMU, BioX | 2016-03-24 10:00 |
Tokyo | Temporal Spotting of Human Actions in Video Based on Voting Framework with a Hierarchical Action Model Keita Hara, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) BioX2015-42 PRMU2015-165 |
This paper focuses on the task of temporal action spotting: temporal segmentation and classification of human actions in... [more] | BioX2015-42 PRMU2015-165 pp.7-12 |
|
| CQ | 2015-01-23 14:10 |
Tokyo | Psycho-Acoustical Measurement of Timings of Target-Card Recognition by Hyakunin-Isshu Karuta-Game Players and Estimation of Acoustic Cues Shoichi Takeda (TCU), Yu Hasegawa (Kinki University), Tsutomu Tsukui (All-Japan Karuta Association), Shogo Kiryu (TCU) CQ2014-111 |
Among players of the Hyakunin-isshu karuta (card) game, it is empirically known that well-trained players are able to pr... [more] | CQ2014-111 pp.141-146 |
|
| AP, SANE (Joint) |
2014-08-29 10:50 |
Niigata | Niigata University Satellite campus | On the Doppler Effect for Radar Application Hirokazu Kobayashi (Osaka Inst. of Tech.) SANE2014-57 |
In terms of the Doppler effect, many well-known books and papers are published in physics, astronomy other than engineer... [more] | SANE2014-57 pp.53-58 |
| SANE | 2013-07-26 16:25 |
Tokyo | Electric Navigation Research Institute | Target Recognition using Spaceborne Radar
-- A Study of Local Feature Pixel Extraction Filter -- Kaori Kawakami, Kei Suwa, Toshio Wakayama, Teruyuki Hara (Mitsubishi Electric) SANE2013-43 |
We propose an auto target recognition method using SAR images of a spaceborne radar. It employs a template matching meth... [more] | SANE2013-43 pp.35-40 |
| SANE | 2012-10-11 09:20 |
Overseas | The SONGDO CONVENSIA, Incheon Korea | Accurate and Robust Automatic Target Recognition Method for SAR Imagery with SOM-Based Classification Shouhei Kidera, Tetsuo Kirimoto (Univ. of Electro-Comm.) SANE2012-108 |
Microwave imaging techniques, in particular synthetic aperture radar (SAR), are able to obtain useful images even in adv... [more] | SANE2012-108 pp.281-284 |
| SANE | 2006-05-26 17:00 |
Kochi | Kochi Univ. of Technology | Reconfigurable Multi-Classifier and Re-classification Hidetoshi Tanaka (Mitsubishi Electric Corp.) SANE2006-63 |
Auto target multiclassification by radar includes problems of the class reconfiguration, in which new classes are added ... [more] | SANE2006-63 pp.37-40 |
| SANE | 2005-03-05 10:50 |
Overseas | KARI, Daejeon, Korea | Auto Target Multiclassification by Double Negative Aggregation of SVM Membership Hidetoshi Tanaka (Mitsubishi Electric) |
Auto Target Multiclassification problems are binarized into pairwise target classifications to utilize basic classific... [more] |
SANE2004-120 pp.25-30 |
| SANE | 2004-11-26 14:50 |
Kanagawa | JAXA(Sagamihara) | Auto target recognition using waveform of radar signal Kaori Kawakami, Hidetoshi Tanaka, Kazuhiko Yamamoto (Mitsubishi Electric Corp.) |
We propose an auto target recognition method using wave form of radar signal, which doesn’t need any feature extraction.... [more] | SANE2004-61 pp.25-28 |
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