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 …

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 …

RGB and thermal source data suffer from both shared and specific challenges, and how to
explore and exploit them plays a critical role to represent the target appearance in RGBT …

Motivated by our observations on RGB-T data that pattern correlations are high-frequently
recurred across modalities also along sequence frames, in this paper, we propose a cross …

RGB-Thermal object tracking attempt to locate target object using complementary visual and
thermal infrared data. Existing RGB-T trackers fuse different modalities by robust feature …

The task of RGBT tracking aims to take the complementary advantages from visible
spectrum and thermal infrared data to achieve robust visual tracking, and receives more and …

Many RGB-T trackers attempt to attain robust feature representation by utilizing an adaptive
weighting scheme (or attention mechanism). Different from these works, we propose a new …

RGBT tracking has attracted increasing attention since RGB and thermal infrared data have
strong complementary advantages, which could make trackers all-day and all-weather work …

RGBT tracking has received more and more attention in recent years, and in this paper, we
propose a multi-task auxiliary learning framework for RGBT tracking. Specifically, we simplify …

Hierarchical deep features can provide multilevel abstractions of target objects, which play
an important role in target localization and classification. Determining how to effectively …