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 …

Thermal infrared (TIR) target tracking task is not affected by illumination changes and can be
tracked at night, on rainy days, foggy days, and other extreme weather; so it is widely used in …

Thermal infrared (TIR) target tracking is susceptible to occlusion and similarity interference,
which obviously affects the tracking results. To resolve this problem, we develop an Aligned …

Siamese-based trackers have achieved outstanding tracking performance. However, these
trackers in complex scenarios struggle to adequately integrate the valuable target feature …

RGBT object tracking is an important research topic due to the complementary features of
visible and thermal infrared images. However, the established fast-tracking Siamese series …

RGBT tracking seeks to leverage both visible and thermal infrared images to enhance the
robustness of target tracking. This method makes up for the limitations of single-sensor …

Infrared thermal imaging is useful for human body recognition for search and rescue (SAR)
missions. This paper discusses thermal object tracking for SAR missions with a drone. The …

Recently, visual transformer-based tracking has achieved significant success owing to its
effective attention modeling strategies and global context feature extraction. However, most …

Visual object tracking (VOT) is a fundamental and complex problem in computer vision field.
In the past few years, the research focus has been shifted from template matching to deep …

Unmanned aerial vehicle (UAV) visual tracking has been a hot research topic in the field of
remote sensing. Many filter-based UAV trackers have achieved excellent performance …