Biometric recognition technology has made significant advances over the last decade and is now used across a number of services and applications. However, this widespread …
Current research evaluates person search, multi-object tracking and multi-person pose estimation as separate tasks and on different datasets although these tasks are very akin to …
M Cormier, A Clepe, A Specker… - Proceedings of the …, 2022 - openaccess.thecvf.com
The rapidly increasing number of surveillance cameras offers a variety of opportunities for intelligent video analytics to improve public safety. Among many others, the automatic …
The rapidly increasing use of unmanned aerial vehicles (UAVs) for surveillance has paved the way for advanced image analysis techniques to enhance public safety. Among many …
D Davila, D Du, B Lewis, C Funk… - Proceedings of the …, 2023 - openaccess.thecvf.com
In this paper, we present the Multi-view Extended Videos with Identities (MEVID) dataset for large-scale, video person re-identification (ReID) in the wild. To our knowledge, MEVID …
Object detectors that solely rely on image contrast are struggling to detect camouflaged objects in images because of the high similarity between camouflaged objects and their …
The rapid emergence of airborne platforms and imaging sensors are enabling new forms of aerial surveillance due to their unprecedented advantages in scale, mobility, deployment …
Despite the commercial abundance of UAVs aerial data acquisition remains challenging and the existing Asia and North America-centric open-source UAV datasets are small-scale …
H Proença - IEEE Transactions on Circuits and Systems for …, 2021 - ieeexplore.ieee.org
We propose a reversible face de-identification method for video surveillance data, where landmark-based techniques cannot be reliably used. Our solution generates a photorealistic …