[image 03850] ABC2020のご案内：スポンサーシップあり

[Atsushi SHIMADA]

Image-ML の皆様

九州大学の島田と申します．

九工大の井上先生の代理で，行動とふるまいのコンピューティングに関する国際会議ABC2020の案内をさせていただきます。
今年は6月に北九州で行われます。論文締切は1月17日です。

今回は、以下のような企業からスポンサーをいただきます！よい学生論文には旅費を支援することを予定しております。
・株式会社豆蔵
・株式会社イノベーションプラス
・株式会社スマート
・株式会社Liful

論文のカテゴリは通常の研究論文、サーベイ論文、チャレンジ（コンペ）論文、ポジションペーパーといくつか取り揃えていますので、ぜひ投稿をご検討ください。


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                                               CALL FOR PAPERS
        International Conference on Activity and Behavior Computing (ABC 2020)

                                          https://abc-research.github.io/
                               Jun. 22nd - 25th, 2020, Kitakyushu, Japan
                                   In conjunction with ICIEV&IVPR2020
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Human Activity Recognition has been researched in thousands of papers
so far, with mobile / environmental sensors in ubiquitous / pervasive
domains, and with cameras in vision domains. As well, Human Behavior
Analysis is also explored for long-term health care, rehabilitation,
emotion recognition, human interaction, and so on. However, many
research challenges remain for realistic settings, such as complex and
ambiguous activities / behavior, optimal sensor combinations, (deep)
machine learning, data collection, platform systems, and killer
applications.  In this conference, we comprehend such research domains
as ABC: Activity and Behavior Computing, and provide an open and a
confluent place for discussing various aspects and the future of the
ABC.

CONFERENCE SCOPES
We welcome 4 categories of papers: regular papers, position papers,
survey papers,
and challenge papers. The submitted papers are peer reviewed by expert
researchers,
and accepted based on the research quality.
Accepted papers will be included in Springer Books (TBD, IEEE Xplore and SCOPUS
indexed). Selected papers will be invited to submit to the Pattern
Recognition Letters
journal (5-Year Impact Factor: 2.350) and to International Journal on
Computer Vision
and Signal Processing.

- Mobile sensor-based ABC
- Environmental sensor-based ABC
- Vision-based ABC
- Multimodal ABC
- Physical / semantic analysis of ABC
- Gait analysis
- Sleep analysis
- Emotion recognition / analysis
- ABC with deep learning
- ABC data mining
- Data collection
- ABC systems
- Interactive ABC
- Healthcare applications
- Sports applications
- Business applications
- Tools for industry
- ABC in the wild

CATEGORIES
- Regular papers: full technical contents which describe the accuracy
and performance
  of ABC Systems, real deployment cases or application of new
paradigms such as deep
  learning to ABC.
- Position papers: describe the challenges and future directions of ABC based on
  problems that arise when systems are deployed in real settings.
- Survey papers: new perspective or new challenges in ABC based on
literature survey.
  We do not welcome just compilations of existing research, but do if
it provides new
  research horizons.
- Challenge papers: TBA, we will provide a dataset and accept results
for activity recognition
   and papers describing the methods and the results.

FORMAT
- Regular papers: 8-20 pages in single column
- Survey papers: 10-20 pages in single column
- Challenge papers: 4-10 pages in single column
- Position papers: 4-10 pages in single column
- Please use Springer Contributed Book format (button below for the
LaTeX template).
- Submit from Microsoft CMT for ICIEV2020 (button below) and select the ABC.

IMPORTANT DATES
- Paper submission:  Jan. 17th, 2020 (Anywhere on Earth)!
- Review result:         Mar. 13th, 2020
- Camera ready:        Apr. 20th, 2020
- Conference:            Jun., 22nd - 25th, 2020

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SPONSORS
- Mamezou Co., Ltd.
- Innovation Plus, Inc.
- Fusic Co., Ltd.
- SMART Inc.

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COMMITTEE

GENERAL CHAIRS
Sozo Inoue, Kyushu Institute of Technology / Riken, Japan
Atiqur Rahman Ahad, University of Dhaka, Bangladesh / Osaka University, Japan

PROGRAM CHAIRS
Daniel Roggen, University of Sussex, UK
Kaori Fujinami, Tokyo University of Agriculture and Technology, Japan

ADVISORY BOARD
Paul Lukowicz, DFKI, Germany
Kristof Van Laerhoven, University of Siegen, Germany
Daniel Roggen, University of Sussex, UK
Michael Beigl, Karlsruhe Institute of Technology, Germany
Jeffry Cohn, University of Pittsburgh, USA
Anind Dey, University of Washinton, USA
Nobuo Kawaguchi, Nagoya University, Japan
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