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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.  ...  We use the anchor-free network to implement object tracking in a per-pixel manner, which computes the object category and bounding boxes directly.  ...  Acknowledgments: We thank the machine vision lab in Hebei University for the equipment and other help it offered. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics10091067 fatcat:s7glzec5kjbjtlsockynm3a7ci

Attention-based Siamese Region Proposals Network for Visual Tracking

Fan Wang, Bo Yang, Jingting Li, Xiaopeng Hu, Zhihang Ji
2020 IEEE Access  
Specifically, the spatial attention convolutional neural network is used to learn the planar weights to enhance the foreground and suppress the interference background.  ...  In this paper, we propose a multi-scale visual tracking algorithm based on attention mechanism to solve the problem that the appearance characteristic model of region proposals network has weak ability  ...  To improve the accuracy and robustness of visual tracking task, more and more researchers start to use convolutional neural network (CNN) for visual object tracking.  ... 
doi:10.1109/access.2020.2991238 fatcat:qta4v5vfafdx5hmht2m25giroe

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.  ...  Faster r-CNN: Towards real-time object detection with region proposal networks.  ... 
doi:10.5772/intechopen.86235 fatcat:rgz7z6ldujczbefuznzhfetgsm

Siamese Visual Object Tracking: A Survey

Milan Ondrasovic, Peter Tarabek
2021 IEEE Access  
[59] proposed their Hierarchical spatial-aware Siamese convolutional neural network (HSSNet) for TIR object tracking.  ...  Specifically, they based their adaptive template updating module on two different networks, namely a neural contour-detection network, and a target-detection network.  ...  Trackers marked with symbol "*" deal with a specific task of TIR tracking and not standard VOT. Tracker Year  ... 
doi:10.1109/access.2021.3101988 fatcat:iwjlqirwqrav5nadbaw2g5huuu

Fully Convolutional Single-Crop Siamese Networks for Real-Time Visual Object Tracking

Dong-Hyun Lee
2019 Electronics  
The visual object tracking problem seeks to track an arbitrary object in a video, and many deep convolutional neural network-based algorithms have achieved significant performance improvements in recent  ...  This paper presents a single-crop visual object tracking algorithm based on a fully convolutional Siamese network (SiamFC).  ...  There are two major approaches for visual object tracking: correlation filter-based approaches and deep convolutional neural network-based approaches.  ... 
doi:10.3390/electronics8101084 fatcat:iszrbmtz5jehvkhw3giv627u6u

Aircraft tracking in infrared imagery with adaptive learning and interference suppression

Sijie Wu, Kai Zhang, Shaoyi Li, Jie Yan
2021 Electronics Letters  
By integrating the correlation filter layer into the convolutional neural networks, the feature domain and the response maps of the DCF can be optimized iteratively in the initial frame.  ...  To settle this problem, it is proposed to make full use of online training to learn domain-specific features.  ...  To settle this problem, it is proposed to make full use of online training to learn domain-specific features.  ... 
doi:10.1049/ell2.12209 fatcat:xfrkld73avb6ndykqvwhovejfq

Online Semantic Subspace Learning with Siamese Network for UAV Tracking

Yufei Zha, Min Wu, Zhuling Qiu, Jingxian Sun, Peng Zhang, Wei Huang
2020 Remote Sensing  
Unfortunately, the learned convolutional neural network (CNN) features are not discriminative when identifying the target from the background/clutter, In particular for the distractor, and cannot capture  ...  Based on the Siamese network, tracking can be conducted efficiently in recent UAV datasets.  ...  Siamese Network Tracking In the visual tracking community, similarity learning with convolutional neural networks (CNN) has attracted lots of attention, because its powerful representation can deal with  ... 
doi:10.3390/rs12020325 fatcat:nvwfsfwgsrb4foibmjtshxyhaa

Object Tracking Based on Global Context Attention

Yucheng Wang, Xi Chen, Zhongjie Mao, Jia Yan
2021 International Journal of Cognitive Informatics and Natural Intelligence  
To remedy this, this article proposes an object-tracking method by introducing the Global Context attention module into the Multi-Domain Network (MDNet) tracker.  ...  Extensive experiments on OTB2013, OTB2015, and UAV20L datasets show that the proposed method is significantly improved compared with MDNet and has competitive performance compared with more mainstream  ...  In contrast, the domain-specific layer uses online training during the tracking process to generate a domain-specific visual tracking classifier.  ... 
doi:10.4018/ijcini.287595 fatcat:kznox2z4jvdbvmtw4rv2xomejm

Object-Adaptive LSTM Network for Visual Tracking

Yihan Du, Yan Yan, Si Chen, Yang Hua, Hanzi Wang
2018 2018 24th International Conference on Pattern Recognition (ICPR)  
In recent years, Convolutional Neural Networks (CNNs) have been widely used in visual object tracking [1, 2, 3, 4] .  ...  For example, SiamFC [3] adopts a novel fully-convolutional Siamese network and it can operate in realtime.  ... 
doi:10.1109/icpr.2018.8545096 dblp:conf/icpr/Du0CHW18 fatcat:mn5od3tfhrajnbvt2wiphnoijm

Research on Target Tracking Algorithm Based on Siamese Neural Network

Haibo Pang, Qi Xuan, Meiqin Xie, Chengming Liu, Zhanbo Li, Xiaoxian Yang
2021 Mobile Information Systems  
This paper adds SE-block and temporal attention mechanism (TAM) to the framework of Siamese neural network.  ...  We train and test the network on three benchmarks and compare with several state-of-the-art tracking methods.  ...  in Siamese neural network and another is using the positive and negative samples at current and historical frame to update the target state with the help of the temporal attention mechanism. e target  ... 
doi:10.1155/2021/6645629 fatcat:huny44y2nje5jhcgui5bmdrvvy

Deep Meta Learning for Real-Time Target-Aware Visual Tracking [article]

Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
2019 arXiv   pre-print
In this paper, we propose a novel on-line visual tracking framework based on the Siamese matching network and meta-learner network, which run at real-time speeds.  ...  To alleviate this complex process, our proposed algorithm incorporates and utilizes a meta-learner network to provide the matching network with new appearance information of the target objects by adding  ...  make use of the powerful representation capabilities of the convolutional neural networks (CNN).  ... 
arXiv:1712.09153v3 fatcat:cmv2vtw5ozferhubatwvbbvprm

Deep visual nerve tracking in ultrasound images

Mohammad Alkhatib, Adel Hafiane, Pierre Vieyres, Alain Delbos
2019 Computerized Medical Imaging and Graphics  
Nerve tracking presents a crucial step for practicing UGRA and it is useful and important to develop a tool to facilitate this step.  ...  structure visualization.  ...  We would like to thank Region Centre Val de Loire for supporting the work.  ... 
doi:10.1016/j.compmedimag.2019.05.007 pmid:31349184 fatcat:ghqphllegvaw3knapi6tl4kgke

Learning Fully Convolutional Network for Visual Tracking with Multi-layer Feature Fusion

Yangliu Kuai, Gongjian Wen, Dongdong Li
2019 IEEE Access  
Convolutional neural networks are powerful models that yield hierarchies of features.  ...  In the paper, we present a new approach for general object tracking based on the fully convolutional network with multi-layer feature fusion.  ...  FCN BASED TRACKERS Fully convolutional networks (FCN) can make dense predictions efficiently and are widely used in semantic segmentation, object detection and visual tracking fields.  ... 
doi:10.1109/access.2019.2899023 fatcat:b2xsb57ph5g5jmuflklxctadqm

Online Visual Tracking with One-Shot Context-Aware Domain Adaptation [article]

Hossein Kashiani, Amir Abbas Hamidi Imani, Shahriar Baradaran Shokouhi, Ahmad Ayatollahi
2021 arXiv   pre-print
Online learning policy makes visual trackers more robust against different distortions through learning domain-specific cues.  ...  The domain adaptation approach is backboned with only an off-the-shelf deep model.  ...  SiamRPN [40] integrates Region Proposal Network [42] into the Siamese network, whereby classification and regression branches can be trained jointly in the offline phase.  ... 
arXiv:2008.09891v2 fatcat:2o57dm6rozggrin6pun6fwwtpq

Graph Convolutional Tracking

Junyu Gao, Tianzhu Zhang, Changsheng Xu
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Specifically, the GCT jointly incorporates two types of Graph Convolutional Networks (GCNs) into a siamese framework for target appearance modeling.  ...  Tracking by siamese networks has achieved favorable performance in recent years.  ...  Recently, more siamese network based tracking methods have been proposed with real-time high quality. Guo et al.  ... 
doi:10.1109/cvpr.2019.00478 dblp:conf/cvpr/GaoZX19 fatcat:gbvsjl2szjccnciwhajkynipwe
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