Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …

With the popularity of multi-modal sensors, visible-thermal (RGB-T) object tracking is to
achieve robust performance and wider application scenarios with the guidance of objects' …

The combination of infrared and visible videos aims to gather more comprehensive feature
information from multiple sources and reach superior results on various practical tasks, such …

RGB-T tracking aims to leverage the mutual enhancement and complement ability of RGB
and TIR modalities for improving the tracking process in various scenarios, where cross …

In recent years, visual object tracking, as a prominent research area in computer vision, has
garnered significant attention. To bolster the robustness of trackers across a spectrum of …

RGBT tracking has been widely used in various fields such as robotics, surveillance
processing, and autonomous driving. Existing RGBT trackers fully explore the spatial …

RGB and thermal infrared (RGBT) tracking as a solution in complex environments has
gradually become a research hotspot. The powerful complementarity between RGB and …

Multispectral pedestrian detection has shown many advantages in a variety of environments,
particularly poor illumination conditions, by leveraging visible-thermal modalities. However …

The tracking community is increasingly focused on RGBT tracking, which leverages the
complementary strengths of corresponding visible light and thermal infrared images. The …

Since both visible and infrared images have their own advantages and disadvantages,
RGBT tracking plays an important role in intelligent transportation systems. The key points of …