Learning adaptive attribute-driven representation for real-time RGB-T tracking

P Zhang, D Wang, H Lu, X Yang - International Journal of Computer Vision, 2021 - Springer
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 …

Thermal infrared target tracking: A comprehensive review

D Yuan, H Zhang, X Shu, Q Liu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
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 …

Object tracking by jointly exploiting frame and event domain

J Zhang, X Yang, Y Fu, X Wei… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …

Single object tracking research: A survey

R Han, W Feng, Q Guo, Q Hu - arXiv preprint arXiv:2204.11410, 2022 - arxiv.org
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 …

Prompting for multi-modal tracking

J Yang, Z Li, F Zheng, A Leonardis, J Song - Proceedings of the 30th …, 2022 - dl.acm.org
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 …

Depthtrack: Unveiling the power of rgbd tracking

S Yan, J Yang, J Käpylä, F Zheng… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …

RGBD1K: A large-scale dataset and benchmark for RGB-D object tracking

XF Zhu, T Xu, Z Tang, Z Wu, H Liu, X Yang… - Proceedings of the …, 2023 - ojs.aaai.org
RGB-D object tracking has attracted considerable attention recently, achieving promising
performance thanks to the symbiosis between visual and depth channels. However, given a …

Object tracking by reconstruction with view-specific discriminative correlation filters

U Kart, A Lukezic, M Kristan… - Proceedings of the …, 2019 - openaccess.thecvf.com
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 …

UniMod1K: Towards a More Universal Large-Scale Dataset and Benchmark for Multi-modal Learning

XF Zhu, T Xu, Z Liu, Z Tang, XJ Wu, J Kittler - International Journal of …, 2024 - Springer
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 …

Cdtb: A color and depth visual object tracking dataset and benchmark

A Lukezic, U Kart, J Kapyla… - Proceedings of the …, 2019 - openaccess.thecvf.com
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 …