Due to the different photosensitive properties of infrared and visible light, infrared and visible
light images have individual features. However, since the registered RGB-T image pairs shot …

Feature-level or pixel-level fusion is a common technique for integrating different modes of
information in RGB-T object tracking. A good fusion method between modalities can …

RGBT tracking is a task that utilizes images from visible (RGB) and thermal infrared (TIR)
modalities to continuously locate a target, which plays an important role in various fields …

RGB-T single-object tracking aims to track objects utilizing both RGB images and thermal
infrared (TIR) images. Though the siamese-based RGB-T tracker shows its advantage in …

The fusion tracking of RGB and thermal infrared image (RGBT) is paid wide attention to due
to their complementary advantages. Currently, most algorithms obtain modality weights …

Siamese tracking is one of the most promising object tracking methods today due to its
balance of performance and speed. However, it still performs poorly when faced with some …

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

Visual object tracking is a basic task in the field of computer vision. Despite the rapid
development of visual object tracking, it is not reliable to use only visible light images for …

RGBT tracking is a practical solution that combines RGB and thermal infrared modes to
solve tracking failures in complex environments to achieve all-day and all-weather work …

Due to the unique complementarity of RGB and thermal (RGBT) images, RGBT tracking has
gradually become a crucial area of research. To achieve robust tracking performance, how …