This paper proposes an intelligent and fast tracking method for robust trackability against
appearance changes. The method hybridizes a correlation-based tracking algorithm …

In recent years, applications of visual tracking algorithms has seen a substantial growth with
deployments in intelligent robots such as drones for human tracking. The algorithms for such …

Visual object tracking is a basic task in computer vision, which has been widely used in
intelligent transportation, autonomous driving, security systems, military reconnaissance and …

Deep learning has recently started being applied to visual tracking of generic objects in
video streams. For the purposes of robotics applications, it is very important for a target …

In this letter, we propose a fast mirror-drive pan-tilt target tracking system that can robustly
track an object whose appearance varies in a complex background at 500 fps. By assuming …

Robust visual tracking for the unmanned aerial vehicle (UAV) is a challenging task in
different types of civilian UAV applications. Although the classical correlation filter (CF) has …

The tracking of moving targets has important research significance and practical benefit in
the field of drone tracking. In this paper, the target tracking we focus on is the general single …

Visual object tracking (VOT) is a computer vision application and has a wide range of use.
However, related state of the art algorithms using deep learning methods, are …

The one-on-one target tracking problem is important in robot vision. Previous studies mainly
focused on locating, depth information and control mechanism. In this study, we construct an …

High tracking frame rates have been achieved based on traditional tracking methods which
however would fail due to drifts of the object template or model, especially when the object …