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 …

Multi-modal tracking gains attention due to its ability to be more accurate and robust in
complex scenarios compared to traditional RGB-based tracking. Its key lies in how to fuse …

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 …

Inspired by the complementarity between conventional frame-based and bio-inspired event-
based cameras, we propose a multi-modal based approach to fuse visual cues from the …

Visual object tracking is an important task in computer vision, which has many real-world
applications, eg, video surveillance, visual navigation. Visual object tracking also has many …

RGBD (RGB plus depth) object tracking is gaining momentum as RGBD sensors have
become popular in many application fields such as robotics. However, the best RGBD …

RGB-D object tracking has attracted considerable attention recently, achieving promising
performance thanks to the symbiosis between visual and depth channels. However, given a …

Recently, there has been a growing interest in RGB-D object tracking thanks to its promising
performance achieved by combining visual information with auxiliary depth cues. However …

The emergence of large-scale high-quality datasets has stimulated the rapid development of
deep learning in recent years. However, most computer vision tasks focus on the visual …

Depth cameras have recently become popular and many vision problems can be better
solved with depth information. But, how to integrate depth information into a visual tracker to …