Satellite video single object tracking: A systematic review and an oriented object tracking benchmark

Y Chen, Y Tang, Y **ao, Q Yuan, Y Zhang, F Liu… - ISPRS Journal of …, 2024 - Elsevier
Single object tracking (SOT) in satellite video (SV) enables the continuous acquisition of
position and range information of an arbitrary object, showing promising value in remote …

A comprehensive review for typical applications based upon unmanned aerial vehicle platform

Y Han, H Liu, Y Wang, C Liu - IEEE Journal of Selected Topics …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely applied in military and civilian fields
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …

Siamese box adaptive network for visual tracking

Z Chen, B Zhong, G Li, S Zhang… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Most of the existing trackers usually rely on either a multi-scale searching scheme or pre-
defined anchor boxes to accurately estimate the scale and aspect ratio of a target …

SCSTCF: spatial-channel selection and temporal regularized correlation filters for visual tracking

J Zhang, W Feng, T Yuan, J Wang, AK Sangaiah - Applied Soft Computing, 2022 - Elsevier
Recently, combining multiple features into discriminative correlation filters to improve
tracking representation has shown great potential in object tracking. Existing trackers apply …

SiamCAR: Siamese fully convolutional classification and regression for visual tracking

D Guo, J Wang, Y Cui, Z Wang… - Proceedings of the …, 2020 - openaccess.thecvf.com
By decomposing the visual tracking task into two subproblems as classification for pixel
category and regression for object bounding box at this pixel, we propose a novel fully …

Learning adaptive spatial-temporal context-aware correlation filters for UAV tracking

D Yuan, X Chang, Z Li, Z He - ACM Transactions on Multimedia …, 2022 - dl.acm.org
Tracking in the unmanned aerial vehicle (UAV) scenarios is one of the main components of
target-tracking tasks. Different from the target-tracking task in the general scenarios, the …

Self-supervised deep correlation tracking

D Yuan, X Chang, PY Huang, Q Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The training of a feature extraction network typically requires abundant manually annotated
training samples, making this a time-consuming and costly process. Accordingly, we …

Deeper and wider siamese networks for real-time visual tracking

Z Zhang, H Peng - … of the IEEE/CVF conference on …, 2019 - openaccess.thecvf.com
Siamese networks have drawn great attention in visual tracking because of their balanced
accuracy and speed. However, the backbone networks used in Siamese trackers are …

Atom: Accurate tracking by overlap maximization

M Danelljan, G Bhat, FS Khan… - Proceedings of the …, 2019 - openaccess.thecvf.com
While recent years have witnessed astonishing improvements in visual tracking robustness,
the advancements in tracking accuracy have been limited. As the focus has been directed …

Got-10k: A large high-diversity benchmark for generic object tracking in the wild

L Huang, X Zhao, K Huang - IEEE transactions on pattern …, 2019 - ieeexplore.ieee.org
We introduce here a large tracking database that offers an unprecedentedly wide coverage
of common moving objects in the wild, called GOT-10k. Specifically, GOT-10k is built upon …