Seadronessee: A maritime benchmark for detecting humans in open water

LA Varga, B Kiefer, M Messmer… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Abstract Unmanned Aerial Vehicles (UAVs) are of crucial importance in search and rescue
missions in maritime environments due to their flexible and fast operation capabilities …

1st workshop on maritime computer vision (macvi) 2023: Challenge results

B Kiefer, M Kristan, J Perš, L Žust… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract The 1st Workshop on Maritime Computer Vision (MaCVi)| 2023 focused on
maritime computer vision for Unmanned| Aerial Vehicles (UAV) and Unmanned Surface …

Vision meets drones: A challenge

P Zhu, L Wen, X Bian, H Ling, Q Hu - arXiv preprint arXiv:1804.07437, 2018 - arxiv.org
In this paper we present a large-scale visual object detection and tracking benchmark,
named VisDrone2018, aiming at advancing visual understanding tasks on the drone …

The unmanned aerial vehicle benchmark: Object detection and tracking

D Du, Y Qi, H Yu, Y Yang, K Duan… - Proceedings of the …, 2018 - openaccess.thecvf.com
With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are used to fuel
numerous important applications in computer vision, delivering more efficiency and …

Detection and tracking meet drones challenge

P Zhu, L Wen, D Du, X Bian, H Fan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Drones, or general UAVs, equipped with cameras have been fast deployed with a wide
range of applications, including agriculture, aerial photography, and surveillance …

A benchmark for deep learning based object detection in maritime environments

S Moosbauer, D Konig, J Jakel… - Proceedings of the …, 2019 - openaccess.thecvf.com
Object detection in maritime environments is a rather unpopular topic in the field of computer
vision. In contrast to object detection for automotive applications, no sufficiently …

Rapid: rotation-aware people detection in overhead fisheye images

Z Duan, O Tezcan, H Nakamura… - Proceedings of the …, 2020 - openaccess.thecvf.com
Recent methods for people detection in overhead, fisheye images either use radially-
aligned bounding boxes to represent people, assuming people always appear along image …

The unmanned aerial vehicle benchmark: Object detection, tracking and baseline

H Yu, G Li, W Zhang, Q Huang, D Du, Q Tian… - International Journal of …, 2020 - Springer
With the increasing popularity of Unmanned Aerial Vehicles (UAVs) in computer vision-
related applications, intelligent UAV video analysis has recently attracted the attention of an …

[PDF][PDF] Deep learning for moving object detection and tracking from a single camera in unmanned aerial vehicles (UAVs)

DH Ye, J Li, Q Chen, J Wachs, C Bouman - Electronic Imaging, 2018 - library.imaging.org
Unmanned Aerial Vehicles (UAVs) gain popularity in a wide range of civilian and military
applications. Such emerging interest is pushing the development of effective collision …

Crowdhuman: A benchmark for detecting human in a crowd

S Shao, Z Zhao, B Li, T Xiao, G Yu, X Zhang… - arXiv preprint arXiv …, 2018 - arxiv.org
Human detection has witnessed impressive progress in recent years. However, the
occlusion issue of detecting human in highly crowded environments is far from solved. To …