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Robust Estimation of Similarity Transformation for Visual Object Tracking [article]

Yang Li, Jianke Zhu, Steven C.H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu
2018 arXiv   pre-print
To tackle this challenging problem, in this paper, we propose a new correlation filter-based tracker with a novel robust estimation of similarity transformation on the large displacements.  ...  Most of existing correlation filter-based tracking approaches only estimate simple axis-aligned bounding boxes, and very few of them is capable of recovering the underlying similarity transformation.  ...  Acknowledgments This work is supported by the National Key Research and Development Program of China (No. 2016YFB1001501) and also by National Natural Science Foundation of China under Grants (61831015  ... 
arXiv:1712.05231v2 fatcat:bhdds6xdejektjjk5lneauer34

Robust Estimation of Similarity Transformation for Visual Object Tracking

Yang Li, Jianke Zhu, Steven C.H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
To tackle this challenging problem, in this paper, we propose a new correlation filter-based tracker with a novel robust estimation of similarity transformation on the large displacements.  ...  Most of existing correlation filter-based tracking approaches only estimate simple axis-aligned bounding boxes, and very few of them is capable of recovering the underlying similarity transformation.  ...  Conclusion In this paper, we proposed a novel visual object tracker for robust estimation of similarity transformation with correlation filter.  ... 
doi:10.1609/aaai.v33i01.33018666 fatcat:xzvor7b66bboziyjzy2revonmq

Robust long-term object tracking with adaptive scale and rotation estimation

Huimin Lu, Dan Xiong, Junhao Xiao, Zhiqiang Zheng
2020 International Journal of Advanced Robotic Systems  
Firstly, a robust scale and rotation estimation method is proposed to deal with scale changes and rotation motion of the object.  ...  In this article, a robust long-term object tracking algorithm is proposed. It can tackle the challenges of scale and rotation changes during the long-term object tracking for security robots.  ...  RLOT: robust long-term object tracking; OTB: object tracking benchmark. Table 1 . 1 The parameters of three kernelized correlation filters.  ... 
doi:10.1177/1729881420909736 fatcat:dp4acg4sxzazjiopeydxiollne

Convolutional Shallow Features for Performance Improvement of Histogram of Oriented Gradients in Visual Object Tracking

Suryo Adhi Wibowo, Hansoo Lee, Eun Kyeong Kim, Sungshin Kim
2017 Mathematical Problems in Engineering  
Furthermore, through a comparison with several state-of-the-art tracking algorithms, the proposed method was shown to achieve the highest rank in terms of accuracy and a third rank for robustness.  ...  Because the proposed method works based on a correlation filter, the response maps for each feature are summed in order to obtain the final response map.  ...  Acknowledgments This work was supported by BK21PLUS, Creative Human Resource Development Program for IT Convergence.  ... 
doi:10.1155/2017/6329864 fatcat:vkfopqldgvdldbrgqwzg2cscf4

Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking [article]

Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei
2021 arXiv   pre-print
In recent years, the background-aware correlation filters have achie-ved a lot of research interest in the visual target tracking.  ...  Comprehensive experimental results demonstrate that the proposed adaptive method clearly outperforms the accuracy and robustness of visual target tracking compared to the state-of-the-art methods on the  ...  Compliance with Ethical Standards: All authors declare that they have no conflict of interest.  ... 
arXiv:2004.02932v2 fatcat:dbjgzsequvcpxgq2qlilv6rmbi

An Improved Kernelized Correlation Filter with the Histogram in Hue-Saturation-Value Color Space for Object Tracking

Wen-Qing HUANG, Li MEI
2017 DEStech Transactions on Computer Science and Engineering  
Visual tracking is a significant problem in computer vision. It requires robustness and real-time. Correlation Filter has achieved state-of-the-art results on this problem.  ...  Finally, we evaluate our algorithm on online tracking benchmark(OTB) and a visual object tracking benchmark(VOT).  ...  Recent years, Correlation Filter has been very popular in visual object tracking because of efficiency and robustness.  ... 
doi:10.12783/dtcse/csma2017/17338 fatcat:d7w3zkib4nagpbhx22osmgg4ti

Comparative Study of ECO and CFNet Trackers in Noisy Environment [article]

Mustansar Fiaz, Sajid Javed, Arif Mahmood, Soon Ki Jung
2018 arXiv   pre-print
We aim to study the robustness of two state of the art trackers in the presence of noise including Efficient Convolutional Operators (ECO) and Correlation Filter Network (CFNet).  ...  Visual object tracking has real world applications and there is good chance that noise may get added during image acquisition in surveillance cameras.  ...  Correlation Filter Based Tracking Framework Recently correlation filter based trackers have attained much attention for object tracking.  ... 
arXiv:1801.09360v1 fatcat:wkc7kfsbdnbnja2xzcpcx6scwq

Kernel Cross-Correlator

Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan
2018 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Cross-correlator plays a significant role in many visual perception tasks, such as object detection and tracking.  ...  Second, the connection to the existing works shows that KCC provides a unified solution for correlation filters.  ...  Hoang Minh Chung, Xu Fang, and Junjun Wang for their help in the experiments.  ... 
doi:10.1609/aaai.v32i1.11710 fatcat:wkrzqzg5xjeuvjxu7k65un5oka

Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook [article]

Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas
2021 arXiv   pre-print
Accurate and robust visual object tracking is one of the most challenging and fundamental computer vision problems.  ...  Following the rapid evolution of visual object tracking in the last decade, this survey presents a systematic and thorough review of more than 90 DCFs and Siamese trackers, based on results in nine tracking  ...  Li, “Multi-cue siamese network for real-time visual tracking,” in ECCV, 2018. correlation filters for robust visual tracking,” in CVPR, 2018. [167] Z. Zhang and H.  ... 
arXiv:2112.02838v1 fatcat:nsre4b5uafeopjb37go6c3obwu

Kernel Cross-Correlator [article]

Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan
2018 arXiv   pre-print
Cross-correlator plays a significant role in many visual perception tasks, such as object detection and tracking.  ...  Second, the connection to the existing works shows that KCC provides a unified solution for correlation filters.  ...  Hoang Minh Chung, Xu Fang, and Junjun Wang for their help in the experiments.  ... 
arXiv:1709.05936v4 fatcat:zhyjrmwntjd4rb2jkyhjsnc6sa

A Robust Visual Tracking Method through Deep Learning Features

Jia-zhen XU, Ming-zhang ZUO, Lin YANG, Lei HUANG
2017 DEStech Transactions on Computer Science and Engineering  
In this paper, we propose a novel approach based on correlation filter framework for robust scale estimation through deep learning features.  ...  Object tracking is one of the most important components in many applications of computer vision.  ...  In this paper, we propose a novel approach based on correlation filter framework for robust scale estimation through deep learning features.  ... 
doi:10.12783/dtcse/aita2016/7562 fatcat:xhhecaysvngyzitndm27u4lfei

PatchNet – Short-range Template Matching for Efficient Video Processing [article]

Huizi Mao, Sibo Zhu, Song Han, William J. Dally
2021 arXiv   pre-print
We demonstrate its application on two tasks, video object detection and visual object tracking.  ...  We propose PatchNet, an efficient convolutional neural network to match objects in adjacent video frames. It learns the patchwise correlation features instead of pixel features.  ...  Correlation filter methods [8, 1] have been widely applied to visual object tracking. A filter is created from the template and correlated with subsequent frames.  ... 
arXiv:2103.07371v1 fatcat:ejzywqowrjexfcrpibje7vxsvm

Structural Correlation Filter for Robust Visual Tracking

Si Liu, Tianzhu Zhang, Xiaochun Cao, Changsheng Xu
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we propose a novel structural correlation filter (SCF) model for robust visual tracking.  ...  The proposed SCF model takes part-based tracking strategies into account in a correlation filter tracker, and exploits circular shifts of all parts for their motion modeling to preserve target object structure  ...  Conclusion In this paper, we propose a novel structural correlation filter namely SCF to model target appearance for robust visual tracking.  ... 
doi:10.1109/cvpr.2016.467 dblp:conf/cvpr/LiuZCX16 fatcat:xmq3bwngwvctzeb4bifv7fugtu

Robust Visual Tracking via Hierarchical Convolutional Features [article]

Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang
2018 arXiv   pre-print
In this paper, we propose to exploit the rich hierarchical features of deep convolutional neural networks to improve the accuracy and robustness of visual tracking.  ...  To further handle the issues with scale estimation and re-detecting target objects from tracking failures caused by heavy occlusion or out-of-the-view movement, we conservatively learn another correlation  ...  Tracking by Correlation Filters. Correlation filters for visual tracking have attracted considerable attention due to its high computational efficiency with the use of fast Fourier transforms.  ... 
arXiv:1707.03816v2 fatcat:rqxytlu64na4hmwtjcahk5otou

The Visual Object Tracking VOT2014 Challenge Results [chapter]

Matej Kristan, Roman Pflugfelder, Aleš Leonardis, Jiri Matas, Luka Čehovin, Georg Nebehay, Tomáš Vojíř, Gustavo Fernández, Alan Lukežič, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari (+45 others)
2015 Lecture Notes in Computer Science  
The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance.  ...  Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on shortterm tracking to date.  ...  of object similarity transform.  ... 
doi:10.1007/978-3-319-16181-5_14 fatcat:oawrb5vmxvdeji675oyluf3dym
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