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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| SANE | 2012-04-26 14:30 |
Nagano | Usuda Deep Space Center, JAXA | Distributed Data Fusion with Transmission/Receive Control Method Takashi Matsuzaki, Hiroshi Kameda (Mitsubishi Electric Corp.) SANE2012-4 |
There are two data fusion algorithm in plural networked sensor. One is a centralized data fusion, the other is distribut... [more] | SANE2012-4 pp.17-22 |
| PRMU, HIP | 2012-03-30 09:30 |
Hyogo | Object Tracking Using Kinect and its Application in Tracking Dynamical Behaviors of Botanical Tree Leaves Khanh N. Do, Jun Ohya (Waseda Univ.) PRMU2011-265 HIP2011-93 |
Reconstructing the dynamical behavior of a moving non-rigid object such as smoke, water and botanical tree is a tough ta... [more] | PRMU2011-265 HIP2011-93 pp.159-164 |
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| IE, MVE | 2012-03-13 09:30 |
Toyama | Toyama University | Tracking method of soccer players with the likelihood of the subregion Godai Ishizuka, Yasutami Chigusa (Tokyo Univ of Technology), Taizoh Hattori (Tokyo International Univ), Mitsuhiro Tomita (Nihon Dynamic System) IE2011-168 MVE2011-130 |
At present, tracking of soccer players action is done by the eye of human being. Therefore, it is very troublesome job. ... [more] | IE2011-168 MVE2011-130 pp.205-210 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2012-02-20 15:40 |
Hokkaido | Hokkaido Univ. | Experimental Evaluation of Image Object Tracking Method using Particle Filter and Minimum Classification Error Training Jyun'ichi Nakamura, Shigeru Katagiri, Miho Ohsaki (Doshisha Univ) ITS2011-36 IE2011-112 |
To increase the accuracy of image object tracking, a discriminative tracking method was proposed that combined the parti... [more] | ITS2011-36 IE2011-112 pp.79-84 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2012-02-21 15:00 |
Hokkaido | Hokkaido Univ. | User Tracking with Multiple Camera Images for a Remote Collaboration Support System called "t-Room" Kana Takeuchi, Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) ITS2011-55 IE2011-131 |
To increase the utility of a remote collaboration support system called "t-Room", we investigated in this paper a user t... [more] | ITS2011-55 IE2011-131 pp.319-324 |
| PRMU, SP | 2012-02-10 09:30 |
Miyagi | Difference Information based Particle Filter for Object Tracking in Complex Environment Yuhi Shiina, Takeshi Ikenaga (Waseda Univ.) PRMU2011-225 SP2011-140 |
Particle filter is well known as a robust object tracking algorithm based on prediction with many distributed particles ... [more] | PRMU2011-225 SP2011-140 pp.173-178 |
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| SANE | 2012-01-26 15:20 |
Nagasaki | Nagasaki Prefectural Art Museum | Numerical Experiments of Nspp (N-Step Predicted Position) Filters for Estimating Aircraft Collision Yuko Yamaguchi, Yoshio Kosuge, Isamu Matsunami (Nagasaki Univ.), Tadashi Koga (ENRI) SANE2011-146 |
In these days, it is expected that the estimates of the tracking filter using α-β filters can predict the future positio... [more] | SANE2011-146 pp.25-29 |
| SANE | 2012-01-26 16:00 |
Nagasaki | Nagasaki Prefectural Art Museum | Iterative Kalman Filter for Improvement of Transient Response Performance in Target Tracking Muhammad Syahmi Bin Ishak, Yoshio Kosuge, Isamu Matsunami (Nagasaki Univ) SANE2011-147 |
In this paper, we discuss the improvement of transient response performance using an iterative Kalman filter. In aircraf... [more] | SANE2011-147 pp.31-36 |
| SANE | 2012-01-26 16:25 |
Nagasaki | Nagasaki Prefectural Art Museum | Kalman Filter with Position and Velocity Measurements for Transient Response of Aircraft Tracking Masatoshi Ogata, Yoshio Kosuge, Isamu Matsunami (Nagasaki Univ) SANE2011-148 |
At present, in aircraft surveillance radar used by air-traffic controllers, secondary radar is mainly used where not onl... [more] | SANE2011-148 pp.37-42 |
| SANE | 2012-01-27 10:15 |
Nagasaki | Nagasaki Prefectural Art Museum | Multiple radar target tracking using a RLS filter Masami Kawazoe, Yoshio Kosuge, Isamu Matsunami (Nagasaki Univ.), Tadashi Koga (ENRI) SANE2011-150 |
The typical recursive processing approach to target tracking with constant sampling interval for a transient response is... [more] | SANE2011-150 pp.49-54 |
| SANE | 2012-01-27 11:05 |
Nagasaki | Nagasaki Prefectural Art Museum | Evaluation of The Adaptive Gain Non-process-noise Tracking Method's Tracking Performance Takurin Sou, Yoshio Kosuge, Isamu Matsunami (Nagasaki Univ.) SANE2011-152 |
The discussion of radar tracking using an NP (Non-process noise) in which prediction (state estimate extrapolation) is c... [more] | SANE2011-152 pp.61-66 |
| SANE | 2011-10-18 08:40 |
Overseas | Udayana University, Bali, Indonesia | Collision Avoidance nspp (n step predicted position) Filters for Aircraft Yuko Yamaguchi, Yoshio Kosuge, Isamu Matsunami (Nagasaki Univ.) SANE2011-77 |
In these days, it is expected that the estimates of the tracking filter using alpha-beta filters can predict the future ... [more] | SANE2011-77 pp.75-79 |
| SANE | 2011-10-18 09:00 |
Overseas | Udayana University, Bali, Indonesia | Comparison of Aircraft Tracking Transient Response Between a Kalman Filter and a Linear Least Squares Filter Muhammad Syahmi, Yoshio Kosuge, Isamu Matsunami (Nagasaki Univ.) SANE2011-78 |
In a conventional Kalman filter, a transformation matrix is required to convert the resulting measurement noise vector f... [more] | SANE2011-78 pp.81-85 |
| SANE | 2011-10-18 09:20 |
Overseas | Udayana University, Bali, Indonesia | NPn Method for Estimating Target Velocity Using a 6-dimensional Target Model Yoshio Kosuge (Nagasaki Univ.) SANE2011-79 |
We present new 3-dimensional tracking filters using a constant velocity target model in order to improve the tracking pe... [more] | SANE2011-79 pp.87-92 |
| ITE-ME, EMM, IE, LOIS, IEE-CMN [detail] | 2011-09-21 15:35 |
Ehime | Robust Object Tracking Method based on harmonization of Consecutive Frames and Multi-view Images in Wide Outdoor Space Hiroshi Sankoh, Sei Naito (KDDI Labs) LOIS2011-26 IE2011-59 EMM2011-37 |
In this paper, we propose a robust object tracking method, which realizes an estimation of world coordinate in the field... [more] | LOIS2011-26 IE2011-59 EMM2011-37 pp.107-112 |
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| ITS, IEE-ITS | 2011-03-11 13:00 |
Kyoto | Traffic Sign Detection and Tracking Based on Shape and Color Information Yanlei Gu, Tomohiro Yendo, Mehrdad Panahpour Tehrani (Nagoya Univ.), Toshiaki Fujii (Tokyo Inst. of Tech.), Masayuki Tanimoto (Nagoya Univ.) ITS2010-72 |
Traffic signs are the main guide of road transportation. To lighten the drivers’ burden, vision based traffic sign recog... [more] | ITS2010-72 pp.29-34 |
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| NC, MBE (Joint) |
2011-03-09 10:30 |
Tokyo | Tamagawa University | Development of a system to monitor human in-hospital using retina chip sensor Takafumi Matsumura, Maki Takeda, Hirotsugu Okuno, Kenji Yamada, Yuko Ohno, Tetsuya Yagi (Osaka Univ.) MBE2010-128 |
Since the number of ambulant patients increases recently, medical facilities require systems which can monitor behaviors... [more] | MBE2010-128 pp.141-145 |
| CS, SIP, CAS | 2011-03-04 14:10 |
Okinawa | Ohhamanobumoto memorial hall (Ishigaki)( | [Poster Presentation]
A Study on Acceleration of Multiple Sound Source Tracking using Particle Filter Masahiro Oshida, Kenji Suyama (Tokyo Denki Univ.) CAS2010-167 SIP2010-183 CS2010-137 |
In this paper, we propose an acceleration method for multiple moving sound source tracking using particle filter. The pa... [more] | CAS2010-167 SIP2010-183 CS2010-137 pp.377-382 |
| SANE | 2011-01-27 13:00 |
Nagasaki | Nagasaki Prefectural Art Museum | Adaptive Gain Non-process-noise Tracking Method Using a Constant Velocity Model Zhuolin Song, Yoshio Kosuge, Isamu Matsunami (Nagasaki Univ.) SANE2010-138 |
The discussion of selecting filter parameters for radar tracking using an NP (Non-process noise) is presented. In this p... [more] | SANE2010-138 pp.1-6 |
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