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All Technical Committee Conferences (Searched in: Recent 10 Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ME, SIP, TOKAI |
2022-12-07 13:35 |
Aichi |
(Aichi, Online) (Primary: On-site, Secondary: Online) |
Skeleton Estimation for Swing based on Deep Model by Introducing Articulation Constraints into Training Atsuki Sakata, Shogo Kihira, Nobutaka Shimada (Ritsumeikan Univ.), Yuki Nagano, Masahiki Ueda (SRI) |
For the purpose of developing the automatic diagnosis system of players' golf swing, we propose a method for estimating ... [more] |
ME2022-91 SIP2022-10 pp.23-26 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 16:40 |
Online |
Online (Online) |
Image Reconstruction Technique using Object's Motion for Single Photon Imaging Kiyotaka Iwabuchi, Yusuke Kameda, Takayuki Hamamoto (TUS) |
The single-photon imaging that enables high-quality imaging even in a low incident light level environment, records inci... [more] |
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IEICE-IE, IEICE-CS, IPSJ-AVM, BCT [detail] |
2019-12-05 11:40 |
Iwate |
Aiina Center (Iwate) |
[Special Talk]
Representation of moving-image's sparsity and its applications to adaptive moving-image restoration Takahiro Saito (Kanagawa Univ.) |
This talk states that statistical sparsity of a moving-image sequence can be properly represented in the domain of the 3... [more] |
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ME, SIP |
2018-12-18 10:00 |
Tokyo |
The University of Electro-Communications (Tokyo) |
A Study for Ball Tracking in Basketball Analysis using Multi-View Image Sequences Shuji Tanikawa, Norio Tagawa (TMU) |
In this study, we examine a tracking method of basketball players that can avoid occlusion using multi-view image sequen... [more] |
ME2018-112 pp.31-34 |
ME |
2017-02-18 11:15 |
Kanagawa |
Kanto Gakuin Univ. (Kanagawa) |
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 |
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