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 …

With the supplement of texture and geometry cues in depth maps, salient object detection
(SOD) shifts from 2D to 3D, aiming to detect the most attractive object in a pair of color and …

Many Siamese-based RGBT trackers have been prevalently designed in recent years for
fast-tracking. However, the correlation operation in them is a local linear matching process …

We address the problem of multi-modal object tracking in video and explore various options
available for fusing the complementary information conveyed by the visible (RGB) and …

Unlike visual object tracking, thermal infrared (TIR) object tracking methods can track the
target of interest in poor visibility such as rain, snow, and fog, or even in total darkness. This …

Recently, Siamese trackers have achieved remarkable tracking performance. However,
challenges such as accurate feature representation of targets with different spatial regions …

Spatial boundary effect can significantly reduce the performance of a learned discriminative
correlation filter (DCF) model. A commonly used method to relieve this effect is to extract …

Siamese tracking paradigm has achieved great success, providing effective appearance
discrimination and size estimation by classification and regression. While such a paradigm …