Mainstream multiobject tracking (MOT) algorithms employ global object detection and
association methods. However, when dealing with scenarios involving crowded tiny objects …

Existing multi-object trackers mainly apply the tracking-by-detection (TBD) paradigm and
have achieved remarkable success. However, the mainstream methods execute their …

Efficient multi-object tracking (MOT) in satellite videos is crucial for numerous applications,
ranging from surveillance to environmental monitoring. Existing methods often struggle with …

Recently, there has been a surge of interest in using one-shot methods for multi-object
tracking (MOT). These methods use a single network to produce both object detection …

Most of the existing Multi-Object Tracking (MOT) approaches follow the Tracking-by-
Detection and Data Association paradigm, in which objects are firstly detected and then …

Multi-object tracking (MOT) in satellite videos is an essential topic with many applications,
such as traffic monitoring and disaster response. However, many multi-object trackers that …

Recently, satellite video has become an emerging means of earth observation, providing the
possibility of tracking moving objects. However, the existing multi-object trackers are …

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 …

Multi-object tracking in satellite videos (SV-MOT) is one of the most challenging tasks in
remote sensing, its difficulty mainly comes from the low spatial resolution, small target and …

Propagation and association tasks in Multi-Object Tracking (MOT) play a pivotal role in
accurately linking the trajectories of moving objects. Recently, modern deep learning models …