ITE Technical Group Submission System
Conference Schedule
Online Proceedings
[Sign in]
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: Recent 10 Years)


Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IST 2025-03-21
11:05
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Lightweight Object Detection Model for a CMOS Image Sensor with Binary Feature Extraction
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka, Ryoya Ieagaki, Kota Yoshida, Shunsuke Okura (Ritumeikan Univ)
For the coming of IoT age, we have proposed an object detection system using a CMOS image sensor with binary feature ext... [more] IST2025-11
pp.7-8
ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] 2024-06-07
13:15
Niigata Nigata University (Ekinan-Campus "TOKIMATE") Lightweight Object Detection Model for a Binary Feature Extractable CMOS Image Sensor
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka (Ritumeikan Univ), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima (Nisshinbo Micro Devices), Okura Syunsuke, Kota Yoshida (Ritumeikan Univ)
For the coming Society 5.0, we propose an object detection system using a CMOS image sensor capable of extracting binary... [more] IST2024-27 ME2024-52
pp.23-28
IEICE-BioX, IEICE-SIP, IEICE-IE, IST, ME [detail] 2023-05-19
15:45
Mie Sansui Hall, Mie University
(Primary: On-site, Secondary: Online)
On-Chip Data Reduction and Object Detection for a Feature Extractable CMOS Image Sensor
Yudai Morikaku (Ritsumeikan Univ.), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.)
Society 5.0, in which information from sensors in physical space is analyzed by artificial intelligence (AI) in cyberspa... [more] IST2023-16 ME2023-59
pp.19-24
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
3DMT, HI 2019-03-08
15:00
Tokyo Kogakuin Univ. Tokyo Urban Tech Tower Campus Development of Projector-based Learning System with Single Sheet Recognition
Mami Umezono, Masato Nakajima, Shoji Yamamoto (May be TMCIT.)
We have developed a learning support system by using projector and depth camera. This system has a possibility of record... [more] HI2019-59 3DIT2019-11
pp.41-44
HI, VRPSY 2018-12-15
09:20
Fukuoka Kokura Campus, Univ. Kitakyushu Characteristics of Emotional Interaction between Human and Multiple Robots
Hiroyuki Usami, Kazunori Kotani, Siritanawan, Prarinya (JAIST)
In this research, we study the characteristics of emotional interaction between multiple robots and human using facial e... [more] HI2018-70
pp.37-40
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] 2018-02-16
11:30
Hokkaido Hokkaido Univ. A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Micro Scale Space
Masato Suzuki, Daisuke Kitakoshi (Tokyo Kosen)
Recognition method using local feature extraction is one of the famous strategies to general object recognition. By cons... [more]
HI, VRPSY 2017-11-25
11:05
Ishikawa Kanazawa Institute of Technology Characteristics of emotional interacton between human and humanoid robot based on facial expression recognition
Kodai Yano, Kazunori Kotani (JAIST)
This paper describes characteristics of emotional interaction between human and humanoid robot by facial expression reco... [more] HI2017-78
pp.43-46
AIT, IIEEJ, AS 2016-03-09
13:15
Tokyo Tokyo Polytechnic Univ. Interactive light art system using human recognition
Momoko Tsuchiya, Yoshihisa Nitta (Tsuda College)
 [more] AIT2016-81
pp.131-134
ME, AIT, IEICE-IE [detail] 2015-11-12
15:50
Kumamoto Sojo University Ikeda Campus A Novel Rectification Method for Character Regions Extracted from Natural Images
Masataka Sato, Terumasa Aoki (Tohoku Univ.)
In recent years , character recognition technologies in natural scenes are widely studied. However, most of existing OCR... [more]
 Results 1 - 13 of 13  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format


[Return to Top Page]

[Return to ITE Web Page]


The Institute of Image Information and Television Engineers (ITE), Japan