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Siamese Visual Tracking with Dual-Pipeline Correlated Fusion Network
2021
IEICE transactions on information and systems
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Siamese visual tracking, viewed as a problem of maxsimilarity matching to the target template, has absorbed increasing attention in computer vision. ...
This work proposes a new Siamese based tracker with a dual-pipeline correlated fusion network (named as ADF-SiamRPN), which consists of one initial template for robust correlation, and the other transient ...
Zeng, "Tracking by ...
doi:10.1587/transinf.2021edp7060
fatcat:zalrposirfegzalgzj23fmmraq
An Anchor-Free Siamese Network with Multi-Template Update for Object Tracking
2021
Electronics
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Inspired by the Siamese network and anchor-free idea, an anchor-free Siamese network (AFSN) with multi-template updates for object tracking is proposed. ...
To improve tracking performance, a dual-fusion method is adopted in which the multi-layer features and multiple prediction results are combined respectively. ...
The multi-template mechanism is effective for the improvement of precision.
Conclusions In this paper, an anchor-free Siamese tracking framework (AFSN) for visual object tracking is proposed. ...
doi:10.3390/electronics10091067
fatcat:s7glzec5kjbjtlsockynm3a7ci
Learning Tracking Representations via Dual-Branch Fully Transformer Networks
[article]
2021
arXiv
pre-print
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We present a Siamese-like Dual-branch network based on solely Transformers for tracking. ...
So the features are aligned with the object tracking task. ...
In this work, we present the first study of using pure Transformers to extract features for tracking. To that end, a Siamese-like dual-branch network is proposed as shown in Fig. 1 (a) . ...
arXiv:2112.02571v1
fatcat:ifqryr6e45dkvlijmcjc7d6e5i
Discriminative and Robust Online Learning for Siamese Visual Tracking
[article]
2019
arXiv
pre-print
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The problem of visual object tracking has traditionally been handled by variant tracking paradigms, either learning a model of the object's appearance exclusively online or matching the object with the ...
We further propose a filter update strategy adaptive to treacherous background noises for discriminative learning, and a template update strategy to handle large target deformations for robust learning ...
is tackled by giving high-quality frames to siamese networks to update template for robust tracking. ...
arXiv:1909.02959v2
fatcat:pmc5vg3odnghnjotg4wzvfjcmy
Discriminative and Robust Online Learning for Siamese Visual Tracking
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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The problem of visual object tracking has traditionally been handled by variant tracking paradigms, either learning a model of the object's appearance exclusively online or matching the object with the ...
We further propose a filter update strategy adaptive to treacherous background noises for discriminative learning, and a template update strategy to handle large target deformations for robust learning ...
is tackled by giving high-quality frames to siamese networks to update template for robust tracking. ...
doi:10.1609/aaai.v34i07.7002
fatcat:vrx3qxk5qrcbtdpfvlbp5mmelm
Deep Siamese Networks toward Robust Visual Tracking
[chapter]
2019
Visual Object Tracking in the Deep Neural Networks Era [Working Title]
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Recently, Siamese neural networks have been widely used in visual object tracking to leverage the template matching mechanism. ...
Various deep Siamese-based tracking frameworks have been proposed to estimate the similarity between the target and the search region. ...
For tracking problems, the challenge is to optimize α in dual form solution in Eq. (3) . ...
doi:10.5772/intechopen.86235
fatcat:rgz7z6ldujczbefuznzhfetgsm
SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking
[article]
2021
arXiv
pre-print
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In addition, the anchor proposal network based on dual features is proposed to raise its robustness of tracking objects with various scales. ...
To this concern, in this paper, a novel attentional Siamese tracker (SiamAPN++) is proposed for real-time UAV tracking. ...
Among the DL-based trackers, the Siamese-based trackers enjoy their superiority due to their high potential in object tracking. The Siamese network structure is widely spread by SiamFC [7] . ...
arXiv:2106.08816v2
fatcat:tdkwspfkm5fibpa3urirt2oegy
Siamese Object Tracking for Unmanned Aerial Vehicle: A Review and Comprehensive Analysis
[article]
2022
arXiv
pre-print
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In the end, prospects for the development of Siamese UAV tracking in the remote sensing field are discussed. ...
To further explore the deployment of Siamese networks in UAV tracking, this work presents a comprehensive review of leading-edge Siamese trackers, along with an exhaustive UAV-specific analysis based on ...
on Siamese UAV tracking. ...
arXiv:2205.04281v1
fatcat:wfiflgmhsncubfnxlfps2hunca
A Novel Guided Anchor Siamese Network for Arbitrary Target-of-Interest Tracking in Video-SAR
2021
Remote Sensing
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(Siamese-FC and Siamese-RPN). ...
Therefore, to solve this problem, we propose a novel guided anchor Siamese network (GASN) dedicated to arbitrary TOI tracking in Video-SAR. ...
[16] proposed a moving target tracking method based on the dual Faster-RCNN, which combined the shadow detection results in SAR images and the range-Doppler (RD) spectrum to suppress false alarms for ...
doi:10.3390/rs13224504
fatcat:ahmeduwizrg2fb3yvouxidpnle
End-to-End Representation Learning for Correlation Filter Based Tracking
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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It is an asymmetric Siamese network: after applying the same convolutional feature transform to both input images, the "training image" is used to learn a linear template, which is then applied to search ...
It is well suited to object tracking because its formulation in the Fourier domain provides a fast solution, enabling the detector to be re-trained once per frame. ...
. , x k ), and the data term becomes p w p x p − y 2 = p X T p w p − y 2 (33) and each channel of the template is obtained from the dual variables w p = X p α = α x p (34) The solution to the dual problem ...
doi:10.1109/cvpr.2017.531
dblp:conf/cvpr/ValmadreBHVT17
fatcat:xrcp5d56xbbs5m5fohxy4opqlq
Motion Guided Siamese Trackers for Visual Tracking
2020
IEEE Access
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INDEX TERMS Siamese trackers, convolutional neural networks, motion model, discriminative model, tracking drift, background clutters. 7474 VOLUME 8, 2020 ...
of the target predicted by the Siamese tracker may be not smooth. ...
SIAMESE TRACKERS Siamese trackers employ Siamese convolutional neural networks to extract the appearance features of the target template patch and the search patch. ...
doi:10.1109/access.2020.2964269
fatcat:udrr722b2jehbc7kxststntdfa
End-to-end representation learning for Correlation Filter based tracking
[article]
2017
arXiv
pre-print
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The Correlation Filter is an algorithm that trains a linear template to discriminate between images and their translations. ...
It is well suited to object tracking because its formulation in the Fourier domain provides a fast solution, enabling the detector to be re-trained once per frame. ...
. , x k ), and the data term becomes p w p x p − y 2 = p X T p w p − y 2 (33) and each channel of the template is obtained from the dual variables w p = X p α = α x p (34) The solution to the dual problem ...
arXiv:1704.06036v1
fatcat:ccabjldtwzfsfm644cp6qzanpy
Multi-Object Tracking Algorithm for RGB-D Images Based on Asymmetric Dual Siamese Networks
2020
Sensors
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In order to solve the above problems, this paper proposes a Multi-Object Tracking algorithm for RGB-D images based on Asymmetric Dual Siamese networks (ADSiamMOT-RGBD). ...
Multi-Object Tracking (MOT), as an important component of intelligent security systems, has received much attention from many researchers in recent years. ...
Then, the TOM inputs the tracking objects into the asymmetric Siamese tracker module as the template branch input. ...
doi:10.3390/s20236745
pmid:33255800
pmcid:PMC7728318
fatcat:faz75l4wrrdt3cdyzxvqneq4by
Model-free Tracking with Deep Appearance and Motion Features Integration
[article]
2018
arXiv
pre-print
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Between the two parallel streams, the ANet investigates appearance features with a multi-scale Siamese atrous CNN, enabling the tracking-by-matching strategy. ...
Being able to track an anonymous object, a model-free tracker is comprehensively applicable regardless of the target type. ...
Appearance features in Siamese-based trackers Siamese-based trackers strive to learn an embedding, not just a feature representation, to calculate the appearance similarity between the template and a target ...
arXiv:1812.06418v1
fatcat:kksjhteur5dbhkdehrgy7qhoea
Learning Geometry Information of Target for Visual Object Tracking with Siamese Networks
2021
Sensors
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Recently, Siamese architecture has been widely used in the field of visual tracking, and has achieved great success. ...
In this paper, we propose a Siamese deformable cross-correlation network to model the geometric structure of target and improve the performance of visual tracking. ...
Siamese Network Based Visual Tracking SiamFC [4] and SINT [11] are the first trackers to apply the Siamese network to the tracking field. Siamese structure is very simple and effective. ...
doi:10.3390/s21237790
pmid:34883790
fatcat:z6j4herl5jfu3nydmpbzujqmsq
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