Held in conjunction with FG 2021 (http://iab-rubric.org/fg2021/)
https://fg4covid19.github.io/#

Paper submission deadline (round 2): September 28th, 2021
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ORGANIZERS
Hazım Kemal Ekenel, Istanbul Technical University, Turkey
Fevziye Irem Eyiokur, Karlsruhe Institute of Technology, Germany
Muhammad Imran, Qatar Computing Research Institute, Qatar
Alperen Kantarcı, Istanbul Technical University, Turkey
Ferda Ofli, Qatar Computing Research Institute, Qatar
Vitomir Štruc, University of Ljubljana, Slovenia
Alexander Waibel, Karlsruhe Institute of Technology, Germany and
Carnegie Mellon University, Pittsburgh

CO-ORGANIZER
European Association for Biometrics (EAB)

ABOUT
Since the end of 2019, the whole world has been living with the effects
of the COVID-19 disease. Due to the airborne nature of the novel
coronavirus, the COVID-19 disease has spread rapidly in many countries
in a short time and has also been declared a global pandemic. Several
preventive measures were implemented to reduce the spread of this
disease, including social distancing, wearing face masks, avoiding large
crowds, and others.

To help monitor public behavior and compliance with the implemented
prevention measures, to gather reliable data for epidemiological models,
facilitate authorized access and authentication, ensure safety and
security despite the COVID-19 pandemic, it is critical to develop
automated machine learning and computer vision based techniques that can
help with these tasks. The COVID-19 pandemic has initiated research and
development of computer-aided systems that can be used to prevent and
monitor not only COVID-19 but also similar diseases that may appear in
the future.

The goal of this workshop is to present the most recent and advanced
work related to face and gesture analysis in the scope of COVID-19. We
are interested in all COVID-19 related studies that focus on the
detection of face mask, subjects' behaviors in public areas, analysis of
pandemic and preventions-related real-world face and gesture data,
prevention control and monitoring systems for unconstrained real-world
conditions and related problems.

TOPICS OF INTEREST
Topics of interest include, but are not limited to:

  + Face mask detection,
  + Masked face detection and recognition,
  + Face-hand interaction detection,
  + COVID-19 monitoring and control systems related to face and gesture
analysis,
  + Social distance tracking and control systems,
  + Dataset bias analysis on COVID-19 datasets (face mask, face-hand,
social distance,…),
  + Face, gesture and body analysis for monitoring intervention-measure
compliance,
  + Behavior understanding relevant for COVID-19,
  + Analysis of social interactions relevant to COVID-19,
  + Soft-biometric analysis on masked faces (age, gender, …),
  + Generative models relevant in the scope of COVID-19,
  + Novel datasets and performance benchmarks,
  + Related applications.

PAPER SUBMISSION
For submission instructions visit: https://fg4covid19.github.io/index.html

Accepted papers will be published in the “Proceedings of FG 2021” and
included in IEEE Xplore.

Selected papers from the first submission round will be invited to
submit extended versions of their work to a special issue organized in
the Image and Vision Computing journal.

KEYNOTE SPEAKERS
Naser Damer, Fraunhofer IGD, Germany
Albert Ali Salah, Utrecht University, The Netherlands

Please feel free to reach out for further details.

Hazım Kemal Ekenel, Fevziye Irem Eyiokur, Muhammad Imran, Alperen
Kantarcı, Ferda Ofli, Vitomir Štruc, Alexander Waibel
FG4COVID19 2021 Organizers