Unmanned aerial vehicles (UAVs) have been widely applied in military and civilian fields
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …

Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of
applications and attracted increasing attention in the field of artificial intelligence (AI) …

Unmanned aerial vehicle (UAV) based visual tracking has been confronted with numerous
challenges, eg, object motion and occlusion. These challenges generally introduce …

Autonomous flights are the major industry contributors towards next-generation
developments in pervasive and ubiquitous computing. Modern aerial vehicles are designed …

As a significant research direction in remote sensing fields, unmanned aerial vehicles
(UAVs) tracking has achieved rapid development in recent years. However, due to limited …

Discriminative correlation filter (DCF)-based methods applied for UAV object tracking have
received widespread attention due to their high efficiency. However, these methods are …

Deep learning algorithms provide visual tracking robustness at an unprecedented level, but
realizing an acceptable performance is still challenging because of the natural continuous …

In recent years, discriminative correlation filter (DCF)-based trackers have made
considerable progress and drawn widespread attention in the unmanned aerial vehicle …

The discriminative correlation filter (DCF)-based tracking methods have achieved
remarkable performance in visual tracking. However, the existing DCF paradigm still suffers …

Traditional discriminative correlation filters have been rapidly developed in UAV tracking
field due to their effectiveness and computational efficiency. Unfortunately, these methods …