Satellite video single object tracking: A systematic review and an oriented object tracking benchmark
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 …
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
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 …
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …
Siamese box adaptive network for visual tracking
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 …
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 …
tracking representation has shown great potential in object tracking. Existing trackers apply …
SiamCAR: Siamese fully convolutional classification and regression for visual tracking
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 …
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
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 …
target-tracking tasks. Different from the target-tracking task in the general scenarios, the …
Self-supervised deep correlation tracking
The training of a feature extraction network typically requires abundant manually annotated
training samples, making this a time-consuming and costly process. Accordingly, we …
training samples, making this a time-consuming and costly process. Accordingly, we …
Deeper and wider siamese networks for real-time visual tracking
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 …
accuracy and speed. However, the backbone networks used in Siamese trackers are …
Atom: Accurate tracking by overlap maximization
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 …
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
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 …
of common moving objects in the wild, called GOT-10k. Specifically, GOT-10k is built upon …