Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19 10:00 |
Kumamoto |
Kumamoto University (Primary: On-site, Secondary: Online) |
ECG waveform reconstruction method using FMCW radar sensing and transformer model Ren Anzai, Daiki Toda, Koichi Ichige (Yokohama National Univ.) |
[more] |
|
ME, AIT, IEICE-IE [detail] |
2017-10-06 08:55 |
Nagasaki |
|
High Precision Background Subtraction from Compressive Measurements Based on Tensor RPCA Tetsu Suzuki, Koichi Ichige (Yokohama National Univ.) |
In this paper, we propose a method to improve reconstruction precision in Background Subtraction from Compressive Measur... [more] |
ME2017-110 AIT2017-169 pp.81-86 |
ME, AIT, IEICE-IE [detail] |
2017-10-06 09:20 |
Nagasaki |
|
Compressive Sensing and Recovery of Binary Images Based on DCT Yusuke Zaitsu, Koichi Ichige (YNU) |
In this paper, we present a method of compressive sensing and recovery of binary images based on Discrete Cosine Transfo... [more] |
ME2017-111 AIT2017-170 pp.87-92 |
ME |
2017-02-18 11:15 |
Kanagawa |
Kanto Gakuin Univ. |
Accurate Feature Point Tracking using Local Invariant Features for Omnidirectional Image Sequence Hiroshi Tada, Koichi Ichige (YNU) |
In this paper, we propose a highly accurate feature point tracking method for omnidirectional image sequence. It is ofte... [more] |
ME2017-4 pp.13-16 |
ME |
2017-02-18 11:30 |
Kanagawa |
Kanto Gakuin Univ. |
Fast Video Background Extraction Based on Tensor Decomposition Tetsu Suzuki, Koichi Ichige (YNU) |
In this paper, we propose a method to reduce computation time in Background Subtraction from Compressive Measurements (B... [more] |
ME2017-5 pp.17-20 |
ME |
2017-02-18 14:15 |
Kanagawa |
Kanto Gakuin Univ. |
Accurate Speech Enhancement Method using Compressive Sensing with Variable Sparse Level Yusuke Zaitsu, Koichi Ichige (YNU) |
In this paper, we propose an accurate speech enhancement method using Compressive Sensing with Variable Sparse Level. Co... [more] |
ME2017-22 pp.81-84 |