Learning adaptive attribute-driven representation for real-time RGB-T tracking
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 …
because the tracked object may suffer from shared and specific challenges in RGB and …
Thermal infrared target tracking: A comprehensive review
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 …
tracked at night, on rainy days, foggy days, and other extreme weather; so it is widely used in …
Object tracking by jointly exploiting frame and event domain
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 …
based cameras, we propose a multi-modal based approach to fuse visual cues from the …
Single object tracking research: A survey
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 …
applications, eg, video surveillance, visual navigation. Visual object tracking also has many …
Prompting for multi-modal tracking
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 …
complex scenarios compared to traditional RGB-based tracking. Its key lies in how to fuse …
Depthtrack: Unveiling the power of rgbd tracking
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 …
become popular in many application fields such as robotics. However, the best RGBD …
RGBD1K: A large-scale dataset and benchmark for RGB-D object tracking
RGB-D object tracking has attracted considerable attention recently, achieving promising
performance thanks to the symbiosis between visual and depth channels. However, given a …
performance thanks to the symbiosis between visual and depth channels. However, given a …
Object tracking by reconstruction with view-specific discriminative correlation filters
Standard RGB-D trackers treat the target as a 2D structure, which makes modelling
appearance changes related even to out-of-plane rotation challenging. This limitation is …
appearance changes related even to out-of-plane rotation challenging. This limitation is …
UniMod1K: Towards a More Universal Large-Scale Dataset and Benchmark for Multi-modal Learning
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 …
deep learning in recent years. However, most computer vision tasks focus on the visual …
Cdtb: A color and depth visual object tracking dataset and benchmark
We propose a new color-and-depth general visual object tracking benchmark (CDTB).
CDTB is recorded by several passive and active RGB-D setups and contains indoor as well …
CDTB is recorded by several passive and active RGB-D setups and contains indoor as well …