A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …

Due to their distinctive features, unmanned aerial vehicles (UAVs) have been recently
exploited to support a wide range of applications. The features include low maintenance …

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 …

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) …

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

Unmanned Aerial Vehicles (UAV) have many applications in both commerce and recreation.
However, irresponsibly operated UAVs will pose a threat to public safety. Therefore …

Aerial object tracking has recently shown great potential in the field of remote sensing.
However, small objects with limited feature information pose a huge challenge to aerial …

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

Vision-based object tracking has boosted extensive autonomous applications for unmanned
aerial vehicles (UAVs). However, the dynamic changes in flight maneuver and viewpoint …