With the development of sensor fusion technologies, there has been a lot of research on
intelligent ground vehicles, where obstacle detection is one of the key aspects of vehicle …

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 …

Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …

Infrared and visible image fusion methods aim to combine high-intensity instances and
detail texture features into fused images. However, the ability to capture compact features …

Abstract RGB-Thermal (RGB-T) object tracking receives more and more attention due to the
strongly complementary benefits of thermal information to visible data. However, RGB-T …

The development of a real-time and robust RGB-T tracker is an extremely challenging task
because the tracked object may suffer from shared and specific challenges in RGB and …

Salient object detection (SOD) in complex scenes and environments is a challenging
research topic. Most works focus on RGB-based SOD, which limits its performance of real …

In this study, we propose a novel RGB-T tracking framework by jointly modeling both
appearance and motion cues. First, to obtain a robust appearance model, we develop a …

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 …

Image saliency detection is an active research topic in the community of computer vision and
multimedia. Fusing complementary RGB and thermal infrared data has been proven to be …