UAV Multi-object Tracking by Combining Two Deep Neural Architectures

PL Mazzeo, A Manica, C Distante - International Conference on Image …, 2023 - Springer
Detecting and tracking multiple objects from unmanned aerial vehicle (UAV) videos is an
high challenging task in a wide range of practical applications. Almost all traditional trackers …

Multi object tracking with UAVs using deep SORT and YOLOv3 RetinaNet detection framework

S Kapania, D Saini, S Goyal, N Thakur, R Jain… - Proceedings of the 1st …, 2020 - dl.acm.org
Over the years, object tracking and detection has emerged as one of the most important
aspects of UAV applications such as surveillance, reconnaissance, etc. In our paper, we …

Multi-object tracking meets moving UAV

S Liu, X Li, H Lu, Y He - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
Multi-object tracking in unmanned aerial vehicle (UAV) videos is an important vision task
and can be applied in a wide range of applications. However, conventional multi-object …

Transformer-Based Multi-object Tracking in Unmanned Aerial Vehicles

J Li, H Li - Chinese Conference on Pattern Recognition and …, 2023 - Springer
Unmanned aerial vehicles (UAVs) possess a wide field of view, maneuverability, and
autonomy in the field of multi-object tracking. By combining the high-altitude perspective and …

Multiple objects tracking in the UAV system based on hierarchical deep high-resolution network

W Huang, X Zhou, M Dong, H Xu - Multimedia Tools and Applications, 2021 - Springer
Robust and high-performance visual multi-object tracking is a big challenge in computer
vision, especially in a drone scenario. In this paper, an online Multi-Object Tracking (MOT) …

Multi-Object Tracking for Unmanned Aerial Vehicles Based on Multi-Frame Feature Fusion

J Wen, D Wang, J Fang, Y Li… - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
To address the issues of tracking trajectory loss caused by small object size, frequent view
angle changes and object occlusion in the multi-object tracking task of Unmanned Aerial …

Aerial multi-object tracking by detection using deep association networks

A Jadhav, P Mukherjee, V Kaushik… - … National Conference on …, 2020 - ieeexplore.ieee.org
A lot a research is focused on object detection and it has achieved significant advances with
deep learning techniques in recent years. Inspite of the existing research, these algorithms …

Research on UAV multi-object tracking based on deep learning

X Luo, R Zhao, X Gao - 2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
UAV is widely used in civil or military fields due to its advantages of flexibility, compact and
lightness, and it can replace human beings to explore unknown regions or perform various …

One-shot multi-object tracking using CNN-based networks with spatial-channel attention mechanism

G Li, X Chen, M Li, W Li, S Li, G Guo, H Wang… - Optics & Laser …, 2022 - Elsevier
Deep learning algorithms for multi-object tracking have made great progress and have
powered the emergence of state-of-the-art models to address multi-object tracking problems …

Real-time multiple object tracking using deep learning methods

D Meimetis, I Daramouskas, I Perikos… - Neural Computing and …, 2023 - Springer
Multiple-object tracking is a fundamental computer vision task which is gaining increasing
attention due to its academic and commercial potential. Multiple-object detection …