[visionlist] [CFP]: International Workshop on Face and Gesture Analysis for COVID-19 (@FG2021)

Hazım Kemal Ekenel ekenel at itu.edu.tr
Sat Sep 11 14:27:08 -04 2021


International Workshop on Face and Gesture Analysis for COVID-19

Held in conjunction with FG 2021 (http://iab-rubric.org/fg2021/)

Paper submission deadline (round 2): *September 28th, 2021*

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

European Association for Biometrics (EAB)

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

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
 + Social distance tracking and control systems,
 + Dataset bias analysis on COVID-19 datasets (face mask, face-hand, social
 + Face, gesture and body analysis for monitoring intervention-measure
 + 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.

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.

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
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