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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-18 13:00 |
Online | Online | Speech intelligibility prediction of simulated hearing loss sounds using the Gammachirp Envelope Similarity Index (GESI)
-- Subjective data from laboratory and crowdsourced remote experiments -- Toshio Irino, Honoka Tamaru, Ayako Yamamoto (Wakayama Univ.)  SP2022-17 |
We aim at developing an objective intelligibility measure (OIM) to predict speech intelligibility (SI) for individual el... [more] | SP2022-17 pp.71-76 |
| SIS | 2020-03-06 10:40 |
Saitama | Saitama Hall (Cancelled but technical report was issued) |
Tracking of human with occlusion in thermal images using particle filter Kohei Tsukahara, Katsuya Kondo, Mishiba Kazu (Tottori Univ) SIS2019-51 |
One of the factors that makes it difficult to track objects in image processing is the occlusion problem. Especially in ... [more] | SIS2019-51 pp.79-84 |
| SIS | 2020-03-06 11:00 |
Saitama | Saitama Hall (Cancelled but technical report was issued) |
Detection of moving objects with different intensity using ring filters Tsuyoshi Narita, Ryoto Nishiyama, Katsuya Kondo (Tottori Univ.) SIS2019-52 |
Moving objects can be often detected by background subtracting or temporal differencing as the traditional approach. How... [more] | SIS2019-52 pp.85-90 |
| WBS, SAT (Joint) |
2019-05-16 09:25 |
Aichi | MEIJO University (Tempaku campus) | Foreign Object Debris Detection based on Stepped Multiple Frequency CPC Takayuki Inaba, Manabu Akita, Takashi shiba (UEC) WBS2019-7 |
Foreign Object Debris (FOD) on the airport runway are possible to be serious risk for aircrafts. Detection system by usi... [more] | WBS2019-7 pp.35-40 |
| HCS | 2019-03-08 13:10 |
Hokkaido | Hokusei Gakuen Univ. | A study of difficulty control method in change detection task using everyday object images Takeshi Hizukuri, Yu Enokibori, Kenji Mase (Nagoya Univ.) HCS2018-83 |
Demand for dementia prevention has been increasing in recent years. Cognitive training is being carried out to improve c... [more] | HCS2018-83 pp.93-98 |
| EA, ASJ-H, EMM, IPSJ-MUS [detail] | 2018-11-21 13:30 |
Ishikawa | Hotel Koshuen | [Poster Presentation]
Video Forgery Detection Using Spatio-Temporal Convolutional Neural Network Shoken Ohshiro (Osaka Univ), Kazuhiro Kono (Kainsai Univ), Noboru Babaguchi (Osaka Univ) EA2018-71 EMM2018-71 |
It is easy to tamper with videos due to the improvement of video editing technology.We need to develop forgery detection... [more] | EA2018-71 EMM2018-71 pp.49-52 |
| IMQ | 2018-10-19 14:05 |
Kyoto | Kyoto Institute of Technology | Evaluation of Imaging Method by the Video Coding Efficiency and Its Analysis Kenji Sugiyama, Go Kasahara (Seikei Univ.) IMQ2018-12 |
In color imaging, single sensor system with color filter array (CFA) is popular, especially with Bayer CFA. The improvem... [more] | IMQ2018-12 pp.7-12 |
| PRMU, SP | 2018-06-28 15:40 |
Nagano | Sound recovery using vibration mode of an object in video Yohei Fuse, Yusuke Yasumi, Tetsuya Takiguchi (Kobe Univ.) PRMU2018-25 SP2018-5 |
When a sound hits an object, it causes the surface of the object to vibrate. Some research has been carried out on the r... [more] | PRMU2018-25 SP2018-5 pp.19-24 |
|
| SP, SIP, EA | 2017-03-01 12:40 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
GPU Implementation of Blur-Based Object Detection Using Spatial Domain Filtering Shuhei Aoki, Shingo Kobayashi, Ryusuke Miyamoto (Meiji Univ.) EA2016-99 SIP2016-154 SP2016-94 |
We proposed a novel object detection scheme based on image blur evaluated by Haar-like Features and DFT. The scheme sh... [more] |
EA2016-99 SIP2016-154 SP2016-94 pp.99-102 |
| PRMU, IPSJ-CVIM, MVE [detail] | 2017-01-19 18:10 |
Kyoto | Fish Detection and Recognition for AR-based Learning Support System in an Aquarium Chihiro Dogo (TUS), Tatsuya Kobayashi, Masaru Sugano (KDDI Research), Seiichiro Hangai (TUS) PRMU2016-139 MVE2016-30 |
This paper presents fish detection and recognition method for AR-based learning support system, which helps users to lea... [more] | PRMU2016-139 MVE2016-30 pp.165-169 |
|
| ITS | 2016-05-28 15:15 |
Hokkaido | Hokkaido Univ | Experimental study of moving object tracking based on data fusion of range finders and accelerometers Kenshi Saho, Yusuke Takahashi, Masao Masugi (Ritsumeikan Univ.) ITS2016-1 |
In this report, we evaluate experimental performance of tracking lters using position and acceleration measurements con... [more] | ITS2016-1 pp.1-5 |
| SIS | 2015-12-03 13:55 |
Fukui | Matsuya-sensen (Awara city, Fukui) | Selective Impulse Noise Reduction Filters Using a Group of Weighted Median Filters with Different Properties Yosuke Nabetani, Mitsuji Muneyasu (Kansai Univ.) SIS2015-31 |
In this paper, we propose a selective filtering technique to switch filters applied for each pixel, according to a noise... [more] | SIS2015-31 pp.13-18 |
| SIS | 2015-12-04 11:40 |
Fukui | Matsuya-sensen (Awara city, Fukui) | Scene Text Localization Using Object Detection Based on Filtered Feature Channels and Crosswise Region Merging Takuro Oki, Ryusuke Miyamoto (Meiji Univ.) SIS2015-47 |
This paper proposes a novel scene text recognition scheme using a detector constructed by the Filtered Feature Channels ... [more] | SIS2015-47 pp.99-104 |
| EA, EMM | 2015-11-13 10:00 |
Kumamoto | Kumamoto Univ. | Robust detection to frequency-scale modification for audio watermarking based on amplitude modulation Akira Nishimura (Tokyo Univ. Info. Sci.) EA2015-32 EMM2015-53 |
An audio watermarking system based on amplitude modulation (AM) is tested under the evaluation criteria proposed by the ... [more] | EA2015-32 EMM2015-53 pp.47-52 |
| SIS | 2014-03-06 13:00 |
Osaka | Gran Front Osaka, Knowledge Capital C-9F, 901 | Particle Filter based on Observation Model with Adaptive Local Features and its Application to Human Tracking Sangeun Lee, Keiichi Horio (Kyushu Inst. of Tech.) SIS2013-59 |
In this paper, adaptation algorithm for reliable appearance model (RAM), which is a observation model in particle filter... [more] | SIS2013-59 pp.23-26 |
| SIS | 2014-03-06 13:20 |
Osaka | Gran Front Osaka, Knowledge Capital C-9F, 901 | Object Tracking in Crowded Scenes by Dependent Dirichlet Process Hidden Markov Model Katsuya Kondo, Takuya Okamoto (Tottori Univ.) SIS2013-60 |
In crowded scenes where it is generally difficult to track moving objects, detection and tracking of objects are very ch... [more] | SIS2013-60 pp.27-30 |
| IE | 2013-04-26 13:55 |
Tokyo | Chuo Univ. | Human tracking in indoor scenes using Particle Filter and the non-search area Kota Ito, Akira Kubota (Chuo Univ.) IE2013-2 |
Recently, it has been possible to develop the high-performance and low-cost imaging equipments. Thereby, fields of detec... [more] | IE2013-2 pp.7-12 |
| SIS | 2013-03-08 11:00 |
Shizuoka | Create Hamamatsu | [Tutorial Lecture]
Recent Trend of Particle Filtering in Visual Tracking Kazuhiko Kawamoto (Chiba Univ.) SIS2012-65 |
Particle filters was proposed almost 20 years ago for nonlinear and non-Gaussian time series analysis with sequential Mo... [more] | SIS2012-65 pp.109-114 |
| EMM, IE, LOIS, ITE-ME, IEE-CMN [detail] | 2012-08-27 16:40 |
Yamaguchi | A video watermarking method to objects robust against various attacks Ta Minh Thanh, Koichi Shinoda (Tokyo Inst. of Tech.) LOIS2012-19 IE2012-51 EMM2012-42 |
In this paper, we propose a video watermarking algorithm in object region which is robust against RST (rotation, scaling... [more] | LOIS2012-19 IE2012-51 EMM2012-42 pp.43-48 |
|
| IE | 2012-04-27 15:30 |
Tokyo | Seikei University | Soccer Player Tracking using partial labeling and particle filter Kentarou Haneda, Akira Kubota (Chuo Univ.), Hiroshi Sankoh, Sei Naito (KDDI Labs) IE2012-13 |
Many kinds of new soccer watching styles are proposed in recent years． One of these technologies enables people to watc... [more] |
IE2012-13 pp.69-74 |
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