[image 04819] CFP & Activity Recognition Challenge - BiRD 2023 (PerCom Workshop)

[Hiroaki Kawashima]

image-ml の皆様

兵庫県立大学情報科学研究科の川嶋と申します．

IEEE PerCom 2023 併催のワークショップ「BiRD 2023」
(https://bio-navigation.jp/bird2023/) について，CFP を
ご案内いたしますので，是非ご投稿いただければ幸いです．
（〆切：2022年11月14日）
人や生物，人工物などの行動や移動データに関する
認識・理解の研究が対象となります．

また，人のパッキング行動認識に関するコンテスト
「OpenPack Challenge 2022」
(https://open-pack.github.io/challenge2022) も合わせて
開催されますので， こちらも是非ご参加いただければ
幸いです．
（期間：2022年10月15日～2023年 1月15日を予定）
詳細は上記URLや本メールの「ACTIVITY RECOGNITION
 CHALLENGE」以降をご覧ください．

=================================================
2nd International Workshop on Behavior analysis and Recognition for
knowledge Discovery (BiRD 2023)

In conjunction with the IEEE International Conference on Pervasive
Computing and Communications (PerCom 2023)
March 20-24, 2023 in Atlanta, USA

https://bio-navigation.jp/bird2023/

----------------------------
CALL FOR PAPERS
----------------------------
BiRD workshop aims to provide a forum for presenting and discussing
research on the recognition and understanding of behavior data
collected from various sources, such as humans, animals, and
automobiles, towards scientific discovery (e.g., ecology and medical
science) and/or actual business applications (e.g., industry, sports,
healthcare, and stockbreeding).
In addition, we plan to invite biologists and neuroscientists who have
collected and analyzed behavior data of various animals. While the
biologists and neuroscientists have massive amounts of behavior data,
they have limited opportunities to apply state-of-the-art behavior
analysis techniques to their data. This workshop provides a good
opportunity of collaboration between biologists and information
scientists.

This workshop solicits papers on the recognition and understanding of
behavior data collected from various sources, such as humans, animals,
and automobiles, towards scientific discovery (e.g., ecology and
medical science) and/or actual business applications (e.g., industry,
sports, healthcare, and stockbreeding). Because the organizers of this
workshop are core members of an interdisciplinary project of engineer,
computer science, biology, and neuroscience on behavior understanding
(https://bio-navigation.jp/en/) and one of the organizers is a
biologist specialized in seabirds, we solicit poster papers that
mainly focus on real data and discuss experience/limitations of
conventional analysis methods applied to the data. The topics of
interest include, but are not limited to:

- Data mining methods for behavior/activity data
- Trajectory mining
- Modeling behavior/activity
- Behavior/activity data collection for scientific discovery and/or
actual business
- Data preparation and labeling for scientific discovery and/or actual business
- Knowledge extraction from massive amounts of behavior/activity data
- Behavior/activity monitoring and recognition systems for scientific
discovery and/or actual business
- Applications of activity recognition and/or indoor/outdoor localization
- State-of-the-art indoor/outdoor localization techniques
- State-of-the-art behavior/activity recognition and understanding techniques
- Visualization of behavior/activity data for knowledge discovery
- Extension of those to multi-agent/collective motion setting

-----------------------------
IMPORTANT DATES
-----------------------------
- Workshop paper submissions: November 14, 2022
- Paper notifications: January 5, 2023
- Camera ready: January 31, 2023

------------------
SUBMISSION
------------------
Authors are invited to submit full papers that are unpublished and not
under review elsewhere. In addition, we solicit poster papers that
mainly focus on real data and discuss experience/limitations of
conventional analysis methods applied to the data.

Full details of submission procedures are available at
https://bio-navigation.jp/bird2023/

Workshop papers will be included and indexed in the IEEE digital
libraries (Xplore).

-------------------
ORGANIZERS
-------------------
Takuya Maekawa (Osaka University)
Ken Yoda (Nagoya University)
Keisuke Fujii (Nagoya University)
Olga Heim (Doshisha University, present address: Leibniz institute for
zoo and wildlife research)

--------------------------
PROGRAM COMMITTEE
--------------------------
[Computer science]
- Moustafa Youssef (American University in Cairo and Alexandria University)
- John Krumm (Microsoft Research)
- Stephan Sigg (Aalto University)
- Hiroaki Kawashima (University of Hyogo)
- Yasutoshi Makino (University of Tokyo)
- Koh Takeuchi (Kyoto University)
- Shingo Kagami (Tohoku University)
- Satoru Satake (ATR)
- Kazuya Ohara (NTT)
- Naoya Chiba (Waseda University / OMRON SINIC X Corporation)
- Teerawat Kumrai (Osaka University)
- Qingxin Xia (Osaka University)
- Yasushi Iwatani (Hirosaki University)
- Shogo Arai (Tokyo University of Science)

[Biology & neuroscience]
- Shizuko Hiryu (Doshisha University)
- Susumu Takahashi (Doshisha University)
- Koutaro Kimura (Nagoya City University)
- Hisashi Murakami (Kyoto Institute of Technology)
- Kazushi Tsutsui (Nagoya University)
- Nozomi Nishiumi (National Institute for Basic Biology)
- Mathieu Bonneau (INRAE)

----------------------------------
ACTIVITY RECOGNITION CHALLENGE
----------------------------------
BiRD 2023 also hosts a human activity recognition challenge named
"OpenPack Challenge 2022"!
https://open-pack.github.io/challenge2022

The competition focuses on packaging tasks in the logistics domain to
accelerate human activity recognition for industries. The data used in
the competition is based on the OpenPack dataset, which is a new
large-scale multi-modal dataset of packing processes.
https://open-pack.github.io/

In this competition, you'll develop a model to recognize operations
that conform packaging work from 4 IMU streams, keypoint data, etc.
The packaging work consists of 10 operations (i.e., activity classes).

The best three teams of this competition will receive a prize at the
award ceremony @ BiRD2023. The travel fee of the winners will also be
supported.

Please visit our website (https://open-pack.github.io/challenge2022)
for more detail.


---
川嶋宏彰
兵庫県立大学 情報科学研究科（社会情報科学部兼務）
E-Mail: kawashima ＠ gsis.u-hyogo.ac.jp  Tel: 078-794-5213
研究室HP: https://interaction-lab.org