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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2022-07-08 14:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Automatic Cell Tracking in 4D Arabidopsis Root Microscopic Images Using Genetic Algorithm Yu Song, Yutaro Iwamoto (Ritsumeikan Univ.), Tatsuaki Goh (NAIST), Yohei Kondo (ExCELLS), Keiji Nakajima (NAIST), Yen-wei Chen (Ritsumeikan Univ.)  MI2022-34 |
Single-particle tracking (SPT) is a crucial progress to discover unknown principles of plants. Through accurate tracking... [more] | MI2022-34 pp.10-15 |
| 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 |
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2018-11-30 15:15 |
Tokushima | Tokushima University (Memorial Hall of Almuni(Engineering)) | A pedestrian tracking system using ICA and a particle filter Yoshihiro Tomonari, Yukinori Suzuki (Muroran IT) CS2018-86 IE2018-65 |
A pedestrian tracking system has been studied for various systems such as surveillance systems and traffic monitoring sy... [more] | CS2018-86 IE2018-65 pp.117-122 |
| NLP | 2018-08-08 16:15 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. | Dynamic maximum power point tracking based on improved PSO Shin Yasukawa, Toshimichi Saito (HU) NLP2018-61 |
This paper studies an application of the PSO to the dynamic maximum power point tracking (DMPPT) of a photovoltaic arr... [more] |
NLP2018-61 pp.43-46 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 15:25 |
Okinawa | Okinawa Institute of Science and Technology | Current Dipole Localization from EEG with Birth-Death Process Keita Nakamura (Waseda Univ.), Sho Sonoda (RIKEN), Hideitsu Hino (ISM), Masahiro Kawasaki (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) IBISML2018-10 |
We explore the EEG source localization problem as the estimation of current dipoles. We formulate the relation between c... [more] | IBISML2018-10 pp.67-74 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 15:50 |
Okinawa | Okinawa Institute of Science and Technology | Use of Multiple Particle Swarm Optimizers with Sensors on Solving Tracking Problems Hiroshi Sho (KIT) NC2018-7 |
For realizing better search performance and efficiency, in this paper, author proposes three methods which are multiple ... [more] | NC2018-7 pp.9-14 |
| EE | 2018-01-29 13:15 |
Oita | Satellite Campus Oita | [Poster Presentation]
Influence On Partial Shadows In Photovoltaic Power Generation System And Its Countermeasure
-- Maximum Power Point Tracking Control Using Particle Swarm Optimization -- Yuichi Nagatsu, Genki Hara, Terukazu Sato, Kimihiro Nishizima (Oita Univ) EE2017-58 |
This paper considers the usefulness of PSO (particle swarm optimization) in MPPT (maximum power point tracking) control.... [more] | EE2017-58 pp.93-97 |
| MBE, NC, NLP (Joint) |
2018-01-27 13:35 |
Fukuoka | Kyushu Institute of Technology | The Search Feature of Particle Swarm Optimizer with Sensors in Dynamic Environment Hiroshi Sho (KIT) NC2017-63 |
In order to perform the search of particle swarm optimizer under dynamic environment, as a previous study, author has pr... [more] | NC2017-63 pp.77-82 |
| SIS | 2017-12-15 13:00 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Action Recognition Using Dense Trajectories and Particle Filter Shinnichirou Yoshioka, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2017-53 |
This paper proposes a new method for action recognition of a person using a pan-tilt-zoom camera. The proposed method co... [more] | SIS2017-53 pp.113-118 |
| PRMU | 2017-10-13 09:30 |
Kumamoto | Tracking and Individual Identification of Japanese Macaque Using Deep Learning and Particle Filter Hidetaka Hayashi, Ryosuke Kabata, Kazunori Terada (Gifu Univ.), Masataka Ueno (Kyoto Univ.), Kazunori Yamada (Osaka Univ.) PRMU2017-84 |
(To be available after the conference date) [more] | PRMU2017-84 pp.121-125 |
|
| NLP | 2016-09-15 14:30 |
Hyogo | Konan Univ. | A PSO with Pbest reset and its application to dynamic maximum power point tracking Kosuke Tanakajima, Ryusuke Akeno, Toshimichi Saito (Hosei Univ.) NLP2016-61 |
This paper presents a particle swarm optimizer algorithm for the maximum power point tracking in time-variant photovolta... [more] | NLP2016-61 pp.89-92 |
| HCS | 2016-08-20 17:10 |
Kyoto | The Performance Verification of Particle Swarm Optimizer with Sensors Hiroshi Sho (KyuTech) HCS2016-52 |
For improving the search performance of basic particle swarm optimizers in dynamic environments, in this paper, we propo... [more] | HCS2016-52 pp.121-126 |
|
| RECONF | 2016-05-20 11:40 |
Kanagawa | FUJITSU LAB. | Evaluation of an OpenCL-Based FPGA Platform for Particle Filter Masanori Hariyama, Shunsuke Tatsumi (Tohoku Univ.), Norikazu Ikoma (Nippon Institute of Technology) RECONF2016-22 |
Particle filter is one promising method to estimate the internal states in dynamical systems, and can be used for vari... [more] |
RECONF2016-22 pp.109-113 |
| SR, SRW (Joint) |
2016-05-17 14:00 |
Overseas | Hotel Lasaretti, Oulu, Finland | [Poster Presentation]
Dynamic Tracking of Unknown Emitters in Urban Environments using Particle Filters Azril Haniz, Gia Khanh Tran, Kentaro Saito, Kei Sakaguchi, Jun-ichi Takada (Tokyo Tech), Daisuke Hayashi, Toshihiro Yamaguchi, Shintaro Arata (Koden Electronics) SR2016-24 SRW2016-21 |
This paper presents a dynamic tracking algorithm for unknown radio emitters in urban environments utilizing particle fil... [more] | SR2016-24 SRW2016-21 pp.83-90(SR), pp.71-78(SRW) |
| PRMU, BioX | 2016-03-25 16:15 |
Tokyo | A Levenberg-Marquardt-Based Face Tracking Method with Shape Estimation in Real-Time Kento Tsutsui, Tsuyoshi Migita, Takeshi Shakunaga (Okayama Univ.) BioX2015-70 PRMU2015-193 |
A GPU-based Levenberg-Marquardt method can estimate 16 or more parameters in real-time, given an appropriate set of init... [more] | BioX2015-70 PRMU2015-193 pp.173-178 |
|
| ED | 2015-04-16 17:10 |
Miyagi | Laboratory for Nanoelectronics and Spintronics | Structure and property of artificial lipid bilayer membranes on graphene oxide Yoshiaki Okamoto, Toshinori Motegi, Seiji Iwasa, Adarsh Sandhu, Ryugo Tero (Toyohashi Tech.) ED2015-9 |
Lipid bilayer is the fundamental structure of plasma membrane, and plays important role as the reaction field for variou... [more] | ED2015-9 pp.41-46 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2015-03-03 16:20 |
Tokyo | Seikei Univ. | Human tracking using Particle Filter and detection based on multiple likelihoods Kotaro Udono, Akira Kubota (Chuo Univ.) IMQ2014-43 IE2014-104 MVE2014-91 |
Recently, thanks to development of low-cost and high-performance imaging equipment, object detection and tracking metho... [more] |
IMQ2014-43 IE2014-104 MVE2014-91 pp.81-86 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-23 14:30 |
Hokkaido | Hokkaido Univ. | Human Tracking Method by Particle Filter Using ORB Feature Value Kota Ito, Akira Kubota (Chuo Univ.) ITS2014-56 IE2014-83 |
Human tracking techniques have been attracted in security and marketing applications. In this report, we present a learn... [more] | ITS2014-56 IE2014-83 pp.203-208 |
| ITS, IEE-ITS, IPSJ-ITS [detail] | 2014-09-19 16:55 |
Tottori | Tottori Univ. (Tottori Campus) | Tracking and estimation of the distance from the preceding vehicle based on a particle filtering
-- Proposal of 3-D parameters (x,y,scale) based particle filter for tracking and estimation of the distance -- Kazufumi Tsuji, Seiya Fujitsu, Takayoshi Yokota (Tottori Univ.) ITS2014-19 |
A new method which estimates the distance from the preceding vehicle is proposed. This algorithm captures and keeps tra... [more] |
ITS2014-19 pp.83-87 |
| CAS, SIP, MSS, VLD, SIS [detail] | 2014-07-09 15:30 |
Hokkaido | Hokkaido University | A Method of Detection and Tracking for Moving Objects by Using Kinect and PTZ camaera Takahisa Sakai, Mitsuji Muneyasu, Mamoru Nishida, Yoshinobu Kajikawa (Kansai Univ.) CAS2014-15 VLD2014-24 SIP2014-36 MSS2014-15 SIS2014-15 |
This paper proposes an automatic detection and tracking system for moving objects based on Kinect and PTZ (Pan-Tilt-Zoom... [more] | CAS2014-15 VLD2014-24 SIP2014-36 MSS2014-15 SIS2014-15 pp.69-74 |
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