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 …

We propose a graph neural network-based framework for multi-object tracking that
combines detection and association along with the use of a novel re-identification feature …

Autonomous vehicle detection and tracking are crucial for intelligent transportation
management and control systems. Although many techniques are used to develop smart …

With the rapid development of remote sensing technology, remote sensing target detection
faces many problems; for example, there is still no good solution for small targets with …

Multi-Object Tracking (MOT) describes the task of identifying all objects in an image and
following them over a sequence of frames. A wide range of Deep Learning-based MOT …

Multiple Object Tracking (MOT) is the detection of unique objects and their movements
through frames. There are various issues in Multiple Object Tracking like occlusions, similar …