Face recognition (FR) 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 also emphasizes the challenging problem of identifying individuals from long-range at elevated platforms. In the large crowd gathering in the festivals or the gaming events, identification of any possible suspects involving any avoidable mishappenings highly depends on the facial information. Capturing the facial information in these scenarios highly depend on the drone acquisition systems. However, drone-acquired images generally suffer from poor quality. One probable reason for that is the effect of environmental factors such as turbulence.
The FaceDrone 2022 workshop is intended to disseminate recent development to tackle the challenges in drone face recognition. Henceforth, authors are invited to submit original, previously unpublished work, reporting on a novel and significant research contributions, ongoing research projects, experimental results, and recent developments related to AI and PR for improving the face recognition performance on the following topics of interest (but not limited to):
– Face recognition including drone faces
– Drone face dataset
– Low-quality face recognition
– Face super-resolution and enhancement
– Analysis of the impact of environmental factors on FR