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) …

Temporal contexts among consecutive frames are far from being fully utilized in existing
visual trackers. In this work, we present TCTrack, a comprehensive framework to fully exploit …

Most existing Siamese-based tracking methods execute the classification and regression of
the target object based on the similarity maps. However, they either employ a single map …

Recently, the Siamese-based method has stood out from multitudinous tracking methods
owing to its state-of-the-art (SOTA) performance. Nevertheless, due to various special …

Visual tracking has made significant improvements in the past few decades. Most existing
state-of-the-art trackers 1) merely aim for performance in ideal conditions while overlooking …

Aerial tracking has recently shown significant potential in vision-based measurement.
Despite significant improvements, accurate occlusion tracking remains a difficult challenge …

While discriminative correlation filters (DCF)-based trackers prevail in UAV tracking for their
favorable efficiency, lightweight convolutional neural network (CNN)-based trackers using …

Onboard information fusion for multisatellites, which is based on spatial computing mode,
can improve the satellites' capability, such as the spatial–temporal coverage, detection …

In recent years, the field of unmanned aerial vehicle (UAV) tracking has grown rapidly,
finding numerous applications across various industries. While the discriminative correlation …