| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-20
14:00 |
Hokkaido |
Hokkaido Univ. |
A Study of Action Classification Methods from Videos Using Unsupervised Learning
Ayana Rikimaru (NIT(KOSEN), NC) |
The purpose of this study is to develop a system for automatic surveillance, and to examine whether human behavior in vi... [more] |
MMS2024-30 ME2024-46 AIT2024-30
pp.148-151 |
| IST |
2022-09-22
16:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Image Classification Using Neural Network for Feature Extractable CMOS Image Sensor
Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumei Univ) |
CMOS image sensors are expected to be integrated with AI using deep learning for new technologies. Our research group ha... [more] |
IST2022-39
pp.21-24 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
14:40 |
Online |
online |
A Note on Inspection Action Classification Using First and Third Person Video of Engineers Inspecting Bridges
Tsuyoshi Masuda, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose an inspection action classification method using first and third person videos of engineers in... [more] |
MMS2022-25 ME2022-50 AIT2022-25
pp.177-180 |
| IEICE-SDM, IEICE-ICD, IST [detail] |
2021-08-17
13:55 |
Online |
Online |
Study of an Event-Driven CMOS Image Sensor Using Deep Learning (1)
-- Verification of Image Classification Using Low Bit-Resolution Feature Images --
Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.) |
Currently, CMOS image sensors are expected to be integrated with AI using deep learning to create new technologies.
C... [more] |
IST2021-43
pp.29-33 |
| SIP, ME |
2019-11-14
15:10 |
Kumamoto |
Sojo University, Main Campus |
Stroke Analysis for Badminton Game Based on TCN and Stroke Characteristics
Yosuke Kinoshita, Hiroki Takahashi (UEC) |
Although recording and publication of game videos in sports are progressing, analysis of game content is not fully autom... [more] |
ME2019-121
pp.25-28 |
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
14:00 |
Tokyo |
Waseda Univ. |
LinDA:Features Extraction and Classification of Line Segments for Semi-Automatic Generation of Cartoon Background Images
Megumi Nomura, Masanori Nakayama, Issei Fujishiro (Keio Univ.) |
For cartoon novices, it is effective to reuse as their background images, line drawing materials drawn and opened to the... [more] |
AIT2019-139
pp.315-318 |
| ME |
2018-02-24
14:15 |
Kanagawa |
Kanto Gakuin Univ. |
Automatic extraction of nose and eyes features and their adaptive drawing for facial caricature system
Yuki Sakamoto, Tomoaki Nakamura, Masahide Kaneko (UEC) |
A lot of studies have been reported on automatic extraction of feature points that represent shape of each facial part f... [more] |
ME2018-66
pp.85-88 |
| AIT, IIEEJ, AS, CG-ARTS |
2017-03-14
13:00 |
Tokyo |
Ochanomizu Univ. |
Analysis of Coin Falling Sound Using Machine Leaning
Wataru Yokota, Yasunari Obuchi (Tokyo Univ Tech) |
As a method of discriminating invisible part information, there is a hammering test for discriminating an object using a... [more] |
AIT2017-119
pp.261-264 |
| ME, IST |
2012-06-11
14:00 |
Ishikawa |
Kanazawa Univ. |
Input action classification using principal component analysis in a 3D gesture interface for mobile devices
Tomoko Muraiso, Kayo Ogawa (JWU), Takashi Komuro (Saitama Univ.) |
In this research we propose a new motion classification method using principal component analysis to improve operability... [more] |
IST2012-31 ME2012-82
pp.9-12 |