Visual object tracking has attracted widespread interests recently. Due to the complementary
features provided by visible and infrared images, fusion tracking based on visible and …

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 …

Object tracking based on visible images may fail when the visible images are unreliable, for
example when the illumination condition is poor. Infrared images reveal thermal radiation of …

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 …

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 …

The task of object tracking is very important since its various applications. However, most
object tracking methods are based on visible images, which may fail when visible images …

Due to the complementarity of RGB and thermal data, RGBT tracking has received more and
more attention in recent years because it can effectively solve the degradation of tracking …

In recent years, RGBT tracking has become a hot topic in the field of visual tracking, and
made great progress. In this paper, we propose a novel Trident Fusion Network (TFNet) to …

How to perform effective information fusion of different modalities is a core factor in boosting
the performance of RGBT tracking. This paper presents a novel deep fusion algorithm based …

This paper investigates how to integrate the complementary information from RGB and
thermal (RGB-T) sources for object tracking. We propose a novel Convolutional Neural …