Tracking in the unmanned aerial vehicle (UAV) scenarios is one of the main components of
target-tracking tasks. Different from the target-tracking task in the general scenarios, the …

Traditional framework of discriminative correlation filters (DCF) is often subject to undesired
boundary effects. Several approaches to enlarge search regions have been already …

Unmanned aerial vehicle (UAV)-based tracking finds its applications in agriculture, aviation,
navigation, transportation and public security, etc and develops rapidly recently. However …

Most existing trackers based on discriminative correlation filters (DCF) try to introduce
predefined regularization term to improve the learning of target objects, eg, by suppressing …

With the advancement of computer vision, object trackers based on discriminative
correlation filters (DCF) have demonstrated superior performance and accuracy compared …

With the wide vision and high flexibility, unmanned aerial vehicle (UAV) has been widely
used into object tracking in recent years. However, its limited computing capability poses a …

As a sort of model-free tracking approach, discriminative correlation filter (DCF)-based
trackers have shown prominent performance in unmanned aerial vehicle (UAV) tracking …

In recent years, attention mechanisms have been widely studied in Discriminative
Correlation Filter (DCF) based visual object tracking. To realise spatial attention and …

Discriminative correlation filters (DCFs) have been widely used in the tracking community
recently. DCFs-based trackers utilize samples generated by circularly shifting from an image …

Spatial regularization has been proved as an effective method for alleviating the boundary
effect and boosting the performance of a discriminative correlation filter (DCF) in aerial …