AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results
Journal:
arXiv
Published Date:
Jun 28, 2025
Abstract
Person re-identification (ReID) across aerial and ground vantage points has
become crucial for large-scale surveillance and public safety applications.
Although significant progress has been made in ground-only scenarios, bridging
the aerial-ground domain gap remains a formidable challenge due to extreme
viewpoint differences, scale variations, and occlusions. Building upon the
achievements of the AG-ReID 2023 Challenge, this paper introduces the AG-VPReID
2025 Challenge - the first large-scale video-based competition focused on
high-altitude (80-120m) aerial-ground ReID. Constructed on the new AG-VPReID
dataset with 3,027 identities, over 13,500 tracklets, and approximately 3.7
million frames captured from UAVs, CCTV, and wearable cameras, the challenge
featured four international teams. These teams developed solutions ranging from
multi-stream architectures to transformer-based temporal reasoning and
physics-informed modeling. The leading approach, X-TFCLIP from UAM, attained
72.28% Rank-1 accuracy in the aerial-to-ground ReID setting and 70.77% in the
ground-to-aerial ReID setting, surpassing existing baselines while highlighting
the dataset's complexity. For additional details, please refer to the official
website at https://agvpreid25.github.io.
