In recent years, visual object tracking has become a very active research area. An
increasing number of tracking algorithms are being proposed each year. It is because …

Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …

Feature selection is employed to reduce the feature dimensions and computational
complexity by eliminating irrelevant and redundant features. A vast amount of increasing …

Illumination variation often occurs in visual tracking, which has a severe impact on the
system performance. Many trackers based on Discriminative correlation filter (DCF) have …

Current two-stage object detectors, which consists of a region proposal stage and a
refinement stage, may produce unreliable results due to ill-localized proposed regions. To …

Robust visual tracking is a challenging task in computer vision. Due to the accumulation and
propagation of estimation error, model drifting often occurs and degrades the tracking …

This paper focuses on the problem of vision-based obstacle detection and tracking for
unmanned aerial vehicle navigation. A real-time object localization and tracking strategy …

As a fundamental task for research in satellite videos (SVs), object tracking is used to track
the target of interest in traffic evaluation, military security, and so forth. The current satellite …

Object tracking is one of the most important tasks in computer vision that has many practical
applications such as traffic monitoring, robotics, autonomous vehicle tracking, and so on …

In recent years, correlation filter-based (CF) tracking algorithms have gained momentum in
the field of visual tracking. CF tracking algorithms have achieved compelling performance by …