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Siamese Visual Tracking with Dual-Pipeline Correlated Fusion Network

Ying KANG, Cong LIU, Ning WANG, Dianxi SHI, Ning ZHOU, Mengmeng LI, Yunlong WU
2021 IEICE transactions on information and systems  
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

Tongtong Yuan, Wenzhu Yang, Qian Li, Yuxia Wang
2021 Electronics  
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]

Fei Xie, Chunyu Wang, Guangting Wang, Wankou Yang, Wenjun Zeng
2021 arXiv   pre-print
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]

Jinghao Zhou, Peng Wang, Haoyang Sun
2019 arXiv   pre-print
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

Jinghao Zhou, Peng Wang, Haoyang Sun
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
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]

Mustansar Fiaz, Arif Mahmood, Soon Ki Jung
2019 Visual Object Tracking in the Deep Neural Networks Era [Working Title]  
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]

Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li
2021 arXiv   pre-print
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]

Changhong Fu, Kunhan Lu, Guangze Zheng, Junjie Ye, Ziang Cao, Bowen Li
2022 arXiv   pre-print
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

Jinyu Bao, Xiaoling Zhang, Tianwen Zhang, Jun Shi, Shunjun Wei
2021 Remote Sensing  
(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

Jack Valmadre, Luca Bertinetto, Joao Henriques, Andrea Vedaldi, Philip H. S. Torr
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
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

Chenglong Wu, Yue Zhang, Yi Zhang, Wenkai Zhang, Hongqi Wang, Yunyan Zhang, Xian Sun
2020 IEEE Access  
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]

Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr
2017 arXiv   pre-print
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

Wen-Li Zhang, Kun Yang, Yi-Tao Xin, Ting-Song Zhao
2020 Sensors  
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]

Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao
2018 arXiv   pre-print
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

Hang Chen, Weiguo Zhang, Danghui Yan
2021 Sensors  
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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