Learning a deep ensemble network with band importance for hyperspectral object tracking

Z Li, F Xiong, J Zhou, J Lu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Attributing to material identification ability powered by a large number of spectral bands,
hyperspectral videos (HSVs) have great potential for object tracking. Most hyperspectral …

Siamese residual network for efficient visual tracking

N Fan, Q Liu, X Li, Z Zhou, Z He - Information Sciences, 2023 - Elsevier
The Siamese tracking framework has attracted much attention due to its scalability and
efficiency in recent years. However, it is less effective in recognizing arbitrary targets with …

Robust drogue positioning system based on detection and tracking for autonomous aerial refueling of UAVs

KW Tong, J Wu, YH Hou - IEEE Transactions on Automation …, 2023 - ieeexplore.ieee.org
In modern war, endurance mileage and combat radius are important factors for the combat
effectiveness of military aircraft. However, the existing aerial refueling schemes mainly use …

BANDT: A border-aware network with deformable transformers for visual tracking

K Yang, H Zhang, J Shi, J Ma - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Siamese trackers that predict a tracking box over a regular grid of feature maps based on the
sliding-window paradigm have recently drawn widespread attention in the tracking …

Learning to rank proposals for siamese visual tracking

F Tang, Q Ling - IEEE Transactions on Image Processing, 2021 - ieeexplore.ieee.org
Recently, Siamese network based trackers with region proposal networks (RPN)
decompose the visual tracking task into classification and regression, and have drawn much …

Joint spatio-temporal similarity and discrimination learning for visual tracking

Y Liang, H Chen, Q Wu, C Xia… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Visual tracking is a task of localizing a target unceasingly in a video with an initial target
state at the first frame. The limited target information makes this problem an extremely …

A lightweight convolutional neural network for multipoint displacement measurements on bridge structures

S Wang, S Lin, R Yang - Nonlinear Dynamics, 2024 - Springer
Emerging computer vision measurement methods overcome the limitations of traditional
sensors. However, conventional digital image processing algorithms encounter issues of …

Similarity-and quality-guided relation learning for joint detection and tracking

W Feng, L Bai, Y Yao, W Gan, W Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Joint detection and tracking, which solves two fundamental vision challenges in a unified
manner, is a challenging topic in computer vision. In this area, the proper use of spatial …

PRAT: Accurate object tracking based on progressive attention

Y Zeng, B Zeng, H Hu, H Zhang - Engineering Applications of Artificial …, 2023 - Elsevier
Object tracking aims to estimate the position of a given object in subsequent video
sequences. One of the research focuses in tracking is feature fusion as the similar response …

Siamdmu: Siamese dual mask update network for visual object tracking

J Liu, H Wang, C Ma, Y Su… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Siamese trackers have demonstrated powerful performance in object tracking, which
convert tracking into template matching. However, the trackers may fail to track the target …