VisDrone-MOT2021: The vision meets drone multiple object tracking challenge results

G Chen, W Wang, Z He, L Wang… - … Computer Vision, 2021 - openaccess.thecvf.com
… The results of eight state-of-the-art MOT algorithms are reported and discussed. …
VisDrone-MOT2021 challenge will facilitate future research and applications in the field of UAV

Vehicular/Non-Vehicular Multi-Class Multi-Object Tracking in Drone-based Aerial Scenes

I Bisio, C Garibotto, H Haleem… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
… Data association for MOT is challenging because of the need to consistently link incoming
detections to the existing trajectories despite trivial detection results and objects entering and …

Multiple object tracking in drone aerial videos by a holistic transformer and multiple feature trajectory matching pattern

Y Yuan, Y Wu, L Zhao, Y Pang, Y Liu - Drones, 2024 - search.proquest.com
… basic framework and challenges of multiple object tracking. Then… detection results from
the detector output, we add detectionVisDrone-MOT2021: The Vision Meets Drone Multiple

Robust multi-drone multi-target tracking to resolve target occlusion: A benchmark

Z Liu, Y Shang, T Li, G Chen, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
… We also design a multi-device target association score (MDA… of cross-view target association
in multi-device tracking. … the challenge of target occlusion, we perform cross-drone target

End-to-end multiple object tracking in high-resolution optical sensors of drones with transformer models

Y Yuan, Y Wu, L Zhao, Y Liu, Y Pang - Scientific Reports, 2024 - nature.com
… to address the challenges of object matching … a result of the rapid development of object
detectors, feature-based modeling has become widely used in drone-based multi-object tracking

DepthMOT: Depth Cues Lead to a Strong Multi-Object Tracker

J Wu, Y Liu - arXiv preprint arXiv:2404.05518, 2024 - arxiv.org
… Therefore, we choose two popular UAV multi-object tracking datasets, ie, VisDrone [6] and
Visdrone-mot2021: The vision meets drone multiple object tracking challenge results. In: …

Improving object detection, multi-object tracking, and re-identification for disaster response drones

C Paik, HJ Kim - arXiv preprint arXiv:2201.01494, 2022 - arxiv.org
… There are lots of challenges in object tracking and re-identification, such as … The quantitative
result is improved slightly and we can check better results with unique person ID matching of …

[HTML][HTML] Multi-Class Multi-Object Tracking in Aerial Images Using Uncertainty Estimation

H Ham, J Seo, J Kim, C Jang - Korean Journal of Remote Sensing, 2024 - kjrs.org
… We evaluated our approach on the VisDrone-MOT2021 dataset, which includes multi-class …
VisDrone-MOT2021: The vision meets drone multiple object tracking challenge results. In …

Efficient Multi-Object Tracking on Unmanned Aerial Vehicle

X Hu - 2022 - search.proquest.com
Vision Challenge with a UAV Video track focusing on multi-… Our results suggest that there
is instance-level multi-object … and validated on the VisDrone-MOT2021 dataset and achieves …

Learning a robust topological relationship for online multi-object tracking in UAV scenarios

C Deng, J Wu, Y Han, W Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
… Han et al., “Visdrone-mot2021: The vision meets drone multiple object tracking challenge
results,” in Proceedings of the IEEE/CVF International Conference on Computer …