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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2024-05-16 15:25 |
Tokyo | (Primary: On-site, Secondary: Online) |
Integrating Global-Local Feature Embeddings for Open-Vocabulary Temporal Action Detection NguyenTrung Thanh (Nagoya Univ.), Yasutomo Kawanishi (RIKEN), Takahiro Komamizu, Ichiro Ide (Nagoya Univ.) |
(To be available after the conference date) [more] | |
| SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS | 2024-05-17 11:40 |
Okinawa | A Real-Time Estimation Method for Student Engagement in Collaborative Learning Using Multi-modal Foundation Model Masato Matsuura, Tatsuya Amano, Hirozumi Yamaguchi (Osaka Univ.) |
(To be available after the conference date) [more] | ||
| ET | 2021-03-06 13:45 |
Online | Online | An Examination of the Detection of Students' Classroom Behavior for Class Evaluation Xinyi Xie, Sho Ooi (Rits Univ.), Takeshi Goto (Oji E.S.), Haruo Noma (Rits Univ.)  ET2020-69 |
Beginner teachers are low teaching ability than expert teachers because they are a few teaching experiences in practice.... [more] | ET2020-69 pp.97-102 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-01 09:45 |
Online | Online | Action Detection Based on Supervised Contrastive Learning Keita Iida, Xueting Wang, Toshihiko Yamasaki (The Univ. of Tokyo) IMQ2020-10 IE2020-50 MVE2020-42 |
We propose a method based on supervised contrastive learning in order to extract better feature for action detection. Ac... [more] | IMQ2020-10 IE2020-50 MVE2020-42 pp.1-6 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2019-01-31 11:00 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | A Case for Unsupervised Abnormal Behavior Detection Using Multiple Online Sequential Learning Cores Rei Ito, Mineto Tsukada (Keio Univ), Masaaki Kondo (Univ Tokyo), Hiroki Matsutani (Keio Univ) VLD2018-85 CPSY2018-95 RECONF2018-59 |
(To be available after the conference date) [more] | VLD2018-85 CPSY2018-95 RECONF2018-59 pp.77-82 |
| CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-08 15:00 |
Okinawa | Okinawa Industry Support Center | Multiple Person Tracking and Bio-Sensing for Suspicious Behavior Detection Ryota Yokoyama, Masaru Takeuchi, Kenji Kanai, Jiro Katto (Waseda Univ.) IMQ2017-42 IE2017-134 MVE2017-84 |
Automatic detection of suspicious behaviors in video surveillance is an important issue. To address this fact, in this p... [more] | IMQ2017-42 IE2017-134 MVE2017-84 pp.95-100 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 09:30 |
Tokyo | PRMU2017-43 IBISML2017-15 |
(To be available after the conference date) [more] | PRMU2017-43 IBISML2017-15 pp.35-42 |
|
| ET | 2014-11-14 10:05 |
Osaka | Osaka Prefecture University (Nakamozu Campus) | Automating Social Skills Training Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda (NAIST), Hideki Negoro, Hidemi Iwasaka (Nara Univ. of Edu.), Satoshi Nakamura (NAIST) ET2014-61 |
Social skills training is a well-established method to decrease human anxiety and discomfort in social interaction, and ... [more] | ET2014-61 pp.1-6 |
| PRMU, CNR | 2014-02-14 14:00 |
Fukuoka | Ball Passing Course Creating Behavior in Soccer Game Detection from Player Trajectory Ryotaro Iida, Kenji Mase (Nagoya Univ) PRMU2013-163 CNR2013-71 |
In this study, the behavior to create a ball passing course is detected from the player trajectory in soccer games. Suc... [more] |
PRMU2013-163 CNR2013-71 pp.171-176 |
|
| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-24 10:40 |
Osaka | Trend-Sensitive Hough Forests: Action Detection Method Using Voting Trends Kensho Hara, Takatsugu Hirayama, Kenji Mase (Nagoya Univ.) PRMU2013-109 MVE2013-50 |
Action detection using the Hough voting approach can achieve robustness to occlusions because the approach casts votes f... [more] | PRMU2013-109 MVE2013-50 pp.177-182 |
|
| PRMU, MVE, CQ, IPSJ-CVIM [detail] | 2012-01-20 10:40 |
Osaka | Behavioral event detection from crowds using fixed surveillance cameras Toshiya Wada, Koichi Shinoda (Tokyo Tech) PRMU2011-173 MVE2011-82 |
We propose a method to detect an individual behavioral event in crowds from surveillance video taken by cameras with fix... [more] | PRMU2011-173 MVE2011-82 pp.257-262 |
|
| MVE, ITE-HI | 2010-06-30 09:55 |
Tokyo | Sanjo Conference Hall | Video Processing and Retrieval for Finding Lost Item from Personal Eye-View Video Takahiro Koizumi, Yuichi Nakamura (Kyoto Univ.), Shin'ichi Satoh (NII) MVE2010-41 |
Lifelog, that is a personal experience record in a daily life are expected to be a great help for people who have proble... [more] | MVE2010-41 pp.105-109 |
| PRMU, HIP | 2010-03-16 11:55 |
Kagoshima | Kagoshima Univ. | Video Processing and Retrieval for Finding Lost Item from Personal Eye-View Video Takahiro Koizumi, Yuichi Nakamura (Kyoto Univ.), Shin'ichi Satoh (NII) PRMU2009-300 HIP2009-185 |
Personal experience log in a daily life could be a gread help for peaople who have problem with of memory disorder such ... [more] | PRMU2009-300 HIP2009-185 pp.395-399 |
| MSS | 2007-01-26 14:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | The applications of Data Mining to human behavior analysis,on the point of view of arranging supervised data Ichiro Toyoshima, Kanako Hattori, Takufumi Yoshida, Toyokazu Itakura, Ryohei Orihara (TOSHIBA) |
In recent years,various sensing technologies(e.g. RFID,Image Processing)allow us to get the data of human behavior in re... [more] | CST2006-42 pp.25-30 |
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