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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.  ...  In this paper, an adaptive background-aware correlation filter-based tracker is proposed that effectively models the target appearance by using either the histogram of oriented gradients (HOG) or convolutional  ...  Keywords Background-aware correlation filters · deep convolutional neural network · robust visual tracking Introduction Visual object tracking is one of the challenging practical tasks in computer vision  ... 
arXiv:2004.02932v2 fatcat:dbjgzsequvcpxgq2qlilv6rmbi

An Analytical Review on Some Recent Advances in Deep Learning Object Tracking Approaches

K. Nani Kumar, M. James Stephen, P. V. G. D. Prasad Reddy, Andhra University
2020 International Journal of Engineering Research and  
Visual Object tracking in real world, real time application scenarios is a complex problem, therefore, it remains a most active area of research in computer vision.  ...  This paper presents a detailed review on some of the recent advances in Deep Learning Based Visual Object Tracking Approaches from a wide variety of algorithms often cited in research literature.  ...  Basic traditional visual tracking methods utilize various frameworks like Discriminative Correlation Filters (DCF) [24] - [28] , silhouette tracking [28, 29] , Kernel tracking [30] - [32] , point  ... 
doi:10.17577/ijertv9is010309 fatcat:e7wny2gl35cuvfxrcfec3zxn7y

Adaptive hyper-feature fusion for visual tracking (February 2020)

Zhi Chen, Yongzhao Du, Jianhua Deng, Jiafu Zhuang, Peizhong Liu
2020 IEEE Access  
In this work, we propose a robust tracking algorithm based on context-aware correlation filter framework.  ...  INDEX TERMS Visual tracking, hyper-feature, output constraint transformation, adaptive model update. JIANHUA DENG received the M.Sc. and Ph.D. degrees in radio physics from the University of  ...  THE SCALE DISCRIMINATIVE CORRELATION FILTER In the process of visual tracking, the target object often encounters complicated appearance change such as scale variation.  ... 
doi:10.1109/access.2020.2986157 fatcat:bvzg55ebnjekdj6y3cfbzz3hya

Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking

Qiang Wang, Mengdan Zhang, Junliang Xing, Jin Gao, Weiming Hu, Steve Maybank
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
This work presents a novel end-to-end trainable CNN model for high performance visual object tracking.  ...  Moreover, the correlation filter layer working on the fine-grained representations leverages a global context constraint for accurate object appearance modeling.  ...  ., 2016] for discriminative visual tracking.  ... 
doi:10.24963/ijcai.2018/137 dblp:conf/ijcai/WangZXGHM18 fatcat:vuixvii3hfdw5pp5snso2kxaom

Trajectory Smoothing Constraint and Hard Negative Mining for Distractor-aware Regression Tracking

Weichun Liu, Xiaoan Tang, Xiaoyuan Ren
2019 IEEE Access  
In this paper, we propose to achieve distractor-aware regression tracking with trajectory smoothing constraint and hard negative mining.  ...  Recently, convolutional regression networks have drawn great attention in the tracking community.  ...  CORRELATION FILTER BASED TRACKING Compared with traditional tracking-by-detection methods [6] - [10] , discriminative correlation filters draw much attraction in the tracking community due to dense training  ... 
doi:10.1109/access.2019.2921562 fatcat:vk6u74aunrc3zahc7nhwdwg5oe

Correlation Tracking via Self-Adaptive Fusion of Multiple Features

Zhi Chen, Peizhong Liu, Yongzhao Du, Yanmin Luo, Wancheng Zhang
2018 Information  
In order to address problems that are mentioned above, in this paper, we propose a robust multi-scale correlation filter tracking algorithm via self-adaptive fusion of multiple features.  ...  Correlation filter (CF) based tracking algorithms have shown excellent performance in comparison to most state-of-the-art algorithms on the object tracking benchmark (OTB).  ...  Conclusions In this paper, we propose a robust multi-scale correlation filter tracking algorithm via self-adaptive fusion of multiple hand-crafted features.  ... 
doi:10.3390/info9100241 fatcat:3mujgsm5nvfengaggoqzgg4eca

Second-Order Spatial-Temporal Correlation Filters for Visual Tracking

Yufeng Yu, Long Chen, Haoyang He, Jianhui Liu, Weipeng Zhang, Guoxia Xu
2022 Mathematics  
Discriminative correlation filters (DCFs) have been widely used in visual object tracking, but often suffer from two problems: the boundary effect and temporal filtering degradation.  ...  To deal with these issues, many DCF-based variants have been proposed and have improved the accuracy of visual object tracking.  ...  filters (KCFs) [47] , spatial-temporal regularized correlation filters (STRCFs) [24] , background-aware correlation filters (BACFs) [25] , learning adaptive discriminative correlation filters (LADCFs  ... 
doi:10.3390/math10050684 fatcat:5aqumuqzfnefrfty3wmmjh64nm

Learning a unified tracking-and-detection framework with distractor-aware constraint for visual object tracking

Yang Fang, Seunghyun Ko, Geun-Sik Jo
2020 The Journal of Engineering  
Most of the correlation filter (CF)-based trackers utilise the circulant structure of the training samples to learn discriminative filters to identify the tracked target, which has shown excellent performance  ...  They first incorporate the distractor constraint as context knowledge into a continuous correlation filter for distractor-aware filter learning.  ...  Recently, correlation filter-based discriminative tracking methods [1] [2] [3] [4] [5] [6] [7] [8] have shown excellent performance in terms of both tracking accuracy and speed on all well-known visual  ... 
doi:10.1049/joe.2019.1205 fatcat:5mklk7qzjzhdbacez7vtioyyce

Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map [article]

Xizhe Xue and Ying Li and Qiang Shen
2020 arXiv   pre-print
and color information of the tracked object, and introduce the fused features into a background aware correlation filter to obtain the response map.  ...  Benefiting from its ability to efficiently learn how an object is changing, correlation filters have recently demonstrated excellent performance for rapidly tracking objects.  ...  Contribution: In this paper, we propose a robust correlation tracking method (RCT) via the exploitation of feature fusion and reliable response.  ... 
arXiv:2011.12550v1 fatcat:eezvk5ux5fbfboiua5wujv3gwi

Saliency guided visual tracking via correlation filter with log-Gabor filter

Ming-Xin Yu, Yu-Hua Zhang, Yong-Ke Li, Zhi-Long Lin, Jian-Zeng Li, Chang-Long Wang
2020 IEEE Access  
In this article, we propose saliency guided visual tracking via correlation filter with log-Gabor filter to robustify its performance under occlusion and boundary effect challenges.  ...  Correlation filter (CF) based tracking algorithms have tremendously contributed to the field of visual tracking due to the high computational efficiency and competitive performance.  ...  Recently, CF-based approaches have witnessed astonishing improvements in visual tracking robustness. A discriminative correlation filter is trained to distinguish the target from the surrounding.  ... 
doi:10.1109/access.2020.3020304 fatcat:ckdknnqpdne75owcvjfcdx5tue

The Seventh Visual Object Tracking VOT2019 Challenge Results

Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang (+169 others)
2019 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)  
The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative.  ...  The VOT toolkit has been updated to support both standard shortterm, long-term tracking and tracking with multi-channel imagery.  ...  The SiamM Ds tracker is a modified version of SiamMask [96] to track objects in RGB and Depth images. SiamMask produces segmentation on the tracking target.  ... 
doi:10.1109/iccvw.2019.00276 dblp:conf/iccvw/KristanBZRGBDDN19 fatcat:ogwxim7cgjanxiwq7dddqs66gy

A Robust Visual Tracking Algorithm Based on Spatial-Temporal Context Hierarchical Response Fusion

Wancheng Zhang, Yanmin Luo, Zhi Chen, Yongzhao Du, Daxin Zhu, Peizhong Liu
2018 Algorithms  
Discriminative correlation filters (DCFs) have been shown to perform superiorly in visual object tracking.  ...  Furthermore, we proposed a re-detection activation discrimination method to improve the robustness of visual tracking in the case of tracking failure and an adaptive model update method to reduce tracking  ...  In recent years, Discriminative Correlation Filter (DCF) based tracking methods have shown prominent results on object tracking benchmarks [3] [4] [5] [6] .  ... 
doi:10.3390/a12010008 fatcat:htv33er4hjgzlnv6n3v4m7amrm

An anti-drift background-aware correlation filter for visual tracking in complex scenes

Shanshan Luo, Baoqing Li, Xiaobing Yuan
2019 IEEE Access  
We propose an antidrift background-aware correlation filter via introducing the temporal consistency constraint into BACF.  ...  The model drift problem is an inevitable problem for online visual tracking. Model drift can amplify the false tracking result over time and lead to failed tracking finally.  ...  TRACKING METHODS BASED DISCRIMINATIVE CORRELATION FILTERS Since the proposal of MOSSE algorithm [8] which first adopt adaptive correlation filters to track, tracking methods based DCF become widely used  ... 
doi:10.1109/access.2019.2959406 fatcat:7njczwvucjez5cmlzmwqckb5om

The Sixth Visual Object Tracking VOT2018 Challenge Results [chapter]

Matej Kristan, Aleš Leonardis, Jiří Matas, Michael Felsberg, Roman Pflugfelder, Luka Čehovin Zajc, Tomáš Vojír̃, Goutam Bhat, Alan Lukežič, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín (+143 others)
2019 Lecture Notes in Computer Science  
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative.  ...  A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges.  ...  A.18 DCFNET: Discriminant Correlation Filters Network for Visual Tracking (DCFNet) J. Li, Q. Wang, W.  ... 
doi:10.1007/978-3-030-11009-3_1 fatcat:wbfi2kp3rze33cl2o56eauhooq

Learning Background-Aware Correlation Filters for Visual Tracking [article]

Hamed Kiani Galoogahi, Ashton Fagg, Simon Lucey
2017 arXiv   pre-print
Correlation Filters (CFs) have recently demonstrated excellent performance in terms of rapidly tracking objects under challenging photometric and geometric variations.  ...  In this paper we propose a Background-Aware CF that can model how both the foreground and background of the object varies over time.  ...  Contribution: We propose to learn Background-Aware Correlation Filters (BACF) for real-time object tracking.  ... 
arXiv:1703.04590v2 fatcat:7a2ectn7kjd7bpnkiqfhrysm5u
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