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object tracking learning

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# Recent Tracker Development
<p align="center">
    <img src="https://github.com/QiujieDong/objectTracking/blob/master/recent_Tracker_development.png">
</p>

# paper
- **MIL**: Boris Babenko, Ming-Hsuan Yang, Serge Belongie. "Visual Tracking with Online Multiple Instance Learning", CVPR(2019). [[paper]](http://vision.stanford.edu/teaching/cs231b_spring1415/papers/miltrack_cvpr09.pdf)

- **MOSSE**: David S. Bolme, J. Ross Beveridge, Bruce A. Draper, Yui Man Lui. "Visual Object Tracking using Adaptive Correlation Filters", ICCV(2010). [[paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.294.4992&rep=rep1&type=pdf) [[project]](http://www.cs.colostate.edu/~vision/ocof_toolset_2012/index.php)

- **CSK**：João F,Henriques,Rui Caseiro,Pedro Martins,Jorge Batista. "Exploiting the Circulant Structure of Tracking-by-detection with Kernels". ECCV(2012). [[paper]](http://www.robots.ox.ac.uk/~joao/publications/henriques_eccv2012.pdf) [[project]](http://www.robots.ox.ac.uk/~joao/circulant/)

- **KCF**: João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista. "High-Speed Tracking with Kernelized Correlation Filters", TPAMI (2015). [[paper]](http://www.robots.ox.ac.uk/~joao/publications/henriques_tpami2015.pdf)[[project]](http://www.robots.ox.ac.uk/~joao/circulant/)

- **CN**: Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg ,Joost van de Weijer. "Adaptive Color Attributes for Real-Time Visual Tracking", CVPR (2014).[[paper]](http://www.cvl.isy.liu.se/research/objrec/visualtracking/colvistrack/CN_Tracking_CVPR14.pdf)[[project]](http://www.cvl.isy.liu.se/research/objrec/visualtracking/colvistrack/index.html)

- **STC**: Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang, David Zhang. "Fast Tracking via Spatio-Temporal Context Learning", ECCV (2014).[[paper]](http://arxiv.org/pdf/1311.1939v1.pdf)[[project]](http://www4.comp.polyu.edu.hk/~cslzhang/STC/STC.htm)

- **DSST**： Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan and Michael Felsberg. "Accurate Scale Estimation for Robust Visual Tracking", BMVC (2014).[[paper]](http://www.cvl.isy.liu.se/en/research/objrec/visualtracking/scalvistrack/ScaleTracking_BMVC14.pdf)[[project]](http://www.cvl.isy.liu.se/en/research/objrec/visualtracking/scalvistrack/index.html)

- **fDSST**: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Discriminative Scale Space Tracking", TPAMI (2017). [[paper]](http://www.cvl.isy.liu.se/en/research/objrec/visualtracking/scalvistrack/DSST_TPAMI.pdf)[[project]](http://www.cvl.isy.liu.se/en/research/objrec/visualtracking/scalvistrack/index.html)

- **SAMF**：Solis Montero, Andres, Jochen Lang, Robert Laganiere. "Scalable Kernel Correlation Filter with Sparse Feature Integration",ICCV workshop (2015).[[paper]](https://github.com/ihpdep/ihpdep.github.io/raw/master/papers/eccvw14_samf.pdf)[[github]](https://github.com/ihpdep/samf)

- **Staple**:Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H.S. Torr. "Staple: Complementary Learners for Real-Time Tracking", CVPR (2016). [[paper]](https://www.cv-foundation.org/openaccess/content_cvpr_2016/html/Bertinetto_Staple_Complementary_Learners_CVPR_2016_paper.html)[[project]](http://www.robots.ox.ac.uk/~luca/staple.html)[[github]](https://github.com/bertinetto/staple)

- **SRDCF**:Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Learning Spatially Regularized Correlation Filters for Visual Tracking", ICCV (2015).[[paper]](https://www.cvl.isy.liu.se/research/objrec/visualtracking/regvistrack/SRDCF_ICCV15.pdf)[[project]](https://www.cvl.isy.liu.se/research/objrec/visualtracking/regvistrack/)

- **DiMP**:Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte. "Learning Discriminative Model Prediction for Tracking". [[paper]](https://arxiv.org/pdf/1904.07220.pdf)[[github]](https://github.com/visionml/pytracking)

- **C-COT**: Martin Danelljan, Andreas Robinson, Fahad Khan, Michael Felsberg. "Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking". ECCV (2016). [[paper]](http://www.cvl.isy.liu.se/research/objrec/visualtracking/conttrack/C-COT_ECCV16.pdf) [[project]](http://www.cvl.isy.liu.se/research/objrec/visualtracking/conttrack/index.html) [[github]](https://github.com/martin-danelljan/Continuous-ConvOp)

- **ECO**： Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. "ECO: Efficient Convolution Operators for Tracking". CVPR (2017). [[paper]](http://openaccess.thecvf.com/content_cvpr_2017/papers/Danelljan_ECO_Efficient_Convolution_CVPR_2017_paper.pdf) [[supp]](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Danelljan_ECO_Efficient_Convolution_2017_CVPR_supplemental.pdf) [[project]](http://www.cvl.isy.liu.se/research/objrec/visualtracking/ecotrack/index.html) [[github]](https://github.com/martin-danelljan/ECO)

- **SiameseFC**:Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H.S. Torr. "Fully-Convolutional Siamese Networks for Object Tracking". ECCV workshop (2016).[[paper]](http://120.52.73.78/arxiv.org/pdf/1606.09549v2.pdf)[[project]](http://www.robots.ox.ac.uk/~luca/siamese-fc.html)[[github]](https://github.com/bertinetto/siamese-fc)

- **SiamRPN**:Bo Li, Wei Wu, Zheng Zhu, Junjie Yan. "High Performance Visual Tracking with Siamese Region Proposal Network". CVPR (2018).[[paper]](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_High_Performance_Visual_CVPR_2018_paper.pdf)

- **SiamMask**:Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr. "Fast Online Object Tracking and Segmentation: A Unifying Approach". CVPR (2019). [[paper]](https://arxiv.org/pdf/1812.05050.pdf)[[project]](http://www.robots.ox.ac.uk/~qwang/SiamMask/)[[github]](https://github.com/foolwood/SiamMask)

- **ATOM**: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. "ATOM: Accurate Tracking by Overlap Maximization". CVPR (2019). [[paper]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Danelljan_ATOM_Accurate_Tracking_by_Overlap_Maximization_CVPR_2019_paper.pdf) [[github]](https://github.com/visionml/pytracking)

# Visual Tracker Benchmark && Datasets
- **OTB2013**：Wu Yi, Jongwoo Lim, Ming-Hsuan Yang. "Online Object Tracking: A Benchmark", CVPR (2013). [[paper]](http://faculty.ucmerced.edu/mhyang/papers/cvpr13_benchmark.pdf)

- **OTB2015**：Wu Yi, Jongwoo Lim, Ming-Hsuan Yang. "Object Tracking Benchmark", TPAMI(2015). [[paper]](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001050&tag=1) [[project]](http://cvlab.hanyang.ac.kr/tracker_benchmark/index.html)

- **VOT**：[[project]](http://www.votchallenge.net/index.html)

- **GOT-10k**:Lianghua Huang, Xin Zhao, Kaiqi Huang."GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild".[[paper]](https://arxiv.org/abs/1810.11981)[[project]](http://got-10k.aitestunion.com/index)

- **TColor-128**：Pengpeng Liang, Erik Blasch, Haibin Ling. "Encoding color information for visual tracking: Algorithms and benchmark", TIP(2015). [[paper]](http://www.dabi.temple.edu/~hbling/publication/TColor-128.pdf) [[project]](http://www.dabi.temple.edu/~hbling/data/TColor-128/TColor-128.html)

- **UAV123**：Matthias Mueller, Neil Smith, Bernard Ghanem. "A Benchmark and Simulator for UAV Tracking", ECCV(2016). [[paper]](https://ivul.kaust.edu.sa/Documents/Publications/2016/A%20Benchmark%20and%20Simulator%20for%20UAV%20Tracking.pdf) [[project]](https://ivul.kaust.edu.sa/Pages/pub-benchmark-simulator-uav.aspx)

# Latest research paper
- [dblp:TPAMI](https://dblp.uni-trier.de/db/journals/pami/index.html)
- [arXiv:Computer Vision and Pattern Recognition](https://arxiv.org/list/cs.CV/recent)

# My article
- Qiujie Dong, Xuedong He, Haiyan Ge, Shengzong Zhou. Adaptive Merging Complementary Learners for Visual Tracking Based on Probabilistic Model[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161505.[[paper]](http://www.opticsjournal.net/Articles/abstract?aid=OJ414c6582a88e2489)

董秋杰, 何雪东, 葛海燕, 周盛宗. 基于概率模型的自适应融合互补学习跟踪算法[J]. 激光与光电子学进展, 2019, 56(16): 161505
    
 - Qiujie Dong, Xuedong He, Haiyan Ge, Qin Liu, Aifu Han and Shengzong Zhou. 2019. Adaptive Model-updated Correlation Filters for Real-time Visual Tracking. In AIAM’ 19: 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, October 17–19, 2019, Dublin, Ireland. ACM, New York, NY, USA, 7 pages.[[paper]](https://www.engineeringvillage.com/search/doc/abstract.url?&pageType=quickSearch&usageZone=resultslist&usageOrigin=searchresults&searchtype=Quick&SEARCHID=49fae109d388412abf0730dfdf7a22bb&DOCINDEX=1&ignore_docid=cpx_5cc2ce7c16ecc53c1a2M6b4210178163211&database=8193&format=quickSearchAbstractFormat&tagscope=&displayPagination=yes)

- Qiujie Dong, Xuedong He, Haiyan Ge, Qin Liu, Yanting Liu, Ajuan Li, Yuren Zhang, Aifu Han, Shengzong Zhou. "Adopting Feature-Weighted and Scale Adaptive for Real-Time Visual Tracking". IEEE.[[paper]](https://www.engineeringvillage.com/search/doc/abstract.url?&pageType=quickSearch&usageZone=resultslist&usageOrigin=searchresults&searchtype=Quick&SEARCHID=8b7398679e544ff39ee04069c0d5587d&DOCINDEX=1&ignore_docid=cpx_M7ba0a706172513b3723M6bc410178163190&database=8193&format=quickSearchAbstractFormat&tagscope=&displayPagination=yes)

- Qiujie Dong, Xuedong He, Haiyan Ge, Qin Liu, Aifu Han, Shengzong Zhou. "Improving model drift for robust object tracking". Multimedia Tools and Applications volume 79, pages25801–25815(2020)[[paper]](https://link.springer.com/article/10.1007/s11042-020-09032-z)

# 膜拜大神
- [Martin Danelljan](https://martin-danelljan.github.io/)-马丁大神[[Previous website]](http://users.isy.liu.se/cvl/marda26/)
- [Luca Bertinetto](http://www.robots.ox.ac.uk/~luca/)——[Luca Bertinetto's_GitHub](https://github.com/bertinetto)
- [João F. Henriques](http://www.robots.ox.ac.uk/~joao/#)
- [ Ming-Hsuan Yang](http://faculty.ucmerced.edu/mhyang/)
- [HEscop](https://github.com/HEscop/TBCF)
- [Qiang Wang](https://github.com/foolwood/benchmark_results)
- [小小菜鸟一只](https://blog.csdn.net/crazyice521/article/details/70238542)

objectTracking

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