Face Recognition Under Turbulence and Environment Impacted Drone Surveillance Call for Papers

Face Recognition Under Turbulence and Environment Impacted Drone Surveillance (FR-Under-Drone 2023 Workshop) 
IEEE F&G 2023

Face recognition has received a lot of attention due to surveillance
needed across various security platforms ranging from border control
to e-payments to secure office access. However, in the large crowd
gathering in festivals or gaming events, identification of any
possible suspects involving any avoidable mishappenings highly depends
on facial information. The information might not be effectively
captured using the traditional surveillance cameras due to their
significant distance from the gathering event locations. For that, the
use of drone sensors is an ideal solution. However, the acquired
images generally suffer from poor quality. One probable reason for
that is the effect of environmental factors such as turbulence. In
this workshop coupled with the challenge session (accepted with the
same title), we want to make the first step towards unconstrained
surveillance using face recognition. The challenge and session will
not only help the development of novel algorithms needed to improve
face recognition performance but also disseminate the knowledge to the
audience towards the possible future directions for real-world face
recognition systems.

Face recognition in drone-shot videos has applicability in scenarios
such as identifying individuals stuck at remote locations or in
crowded places monitored via a drone. Recently, IARPA’s Biometric
Recognition and Identification at Altitude and Range (BRIAR) program
[1] also emphasizes the challenging problem of identifying individuals
from long-range at elevated platforms. In brief, the goal of the
workshop is to advance face recognition in challenging drone
surveillance settings. The scope of the workshop includes but is not
limited to the following topics:

    Low-Resolution face recognition
    Drone face super-resolution
    Face detection in low-resolution drone images
    Understanding the turbulence and environmental impact of drone face recognition
    Vision transformer for drone face recognition
    Neural architecture search for low-resolution face recognition
    Active Domain Generalization for drone face recognition
    Semi-supervised learning for drone face recognition

Important Dates

    Workshop paper submission deadline: September 20, 2022
    Notification to authors: October 20, 2022
    Camera-ready deadline: October 30, 2022


Submission details will be released soon. Each paper needs to follow
the official guidelines including the submission template

Website: http://iab-rubric.org/FG2023_workshop/workshop.html