相关滤波器的文章归纳

Tracking Benchmark for Correlation Filters

Collect and share results for correlation filter trackers.

• Baseline
• Color
• Scale
• Multi kernel & feature & template & task
• Part-based
• Long-term
• Response adaptation
• Training set adaptation
• Bound effect
• Continuous
• SVM
• Deep

Results on OTB

• All results run on a 3.5GHz Intel Core i7 CPU with 32 GB memory.
• We use the first frame’s ground truth instead of the second frame’s in the code of HDT. So there may be a gap between the result above and the paper.

Papers & Codes

Baseline

• MOSSE: David S. Bolme, J. Ross Beveridge, Bruce A. Draper, Yui Man Lui.
  “Visual Object Tracking using Adaptive Correlation Filters.” ICCV (2010).
  [paper]
  [project]

• CSK: João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista.
  “Exploiting the Circulant Structure of Tracking-by-detection with Kernels.” ECCV (2012).
  [paper]
  [project]

• STC: Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang, David Zhang.
  “Fast Tracking via Spatio-Temporal Context Learning.” ECCV (2014).
  [paper]
  [project]

• KCF/DCF: João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista.
  “High-Speed Tracking with Kernelized Correlation Filters.” TPAMI (2015).
  [paper]
  [project]

Color

• CN: Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg and Joost van de Weijer.
  “Adaptive Color Attributes for Real-Time Visual Tracking.” CVPR (2014).
  [paper]
  [project]

• MOCA: Guibo Zhu, Jinqiao Wang, Yi Wu, Xiaoyu Zhang, Hanqing Lu.
  “MC-HOG Correlation Tracking with Saliency Proposal.” AAAI (2016).
  [paper]

• Staple: Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H.S. Torr.
  “Staple: Complementary Learners for Real-Time Tracking.” CVPR (2016).
  [paper]
  [project]
  [github]

Scale

• DSST: Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan and Michael Felsberg.
  “Accurate Scale Estimation for Robust Visual Tracking.” BMVC (2014).
  [paper]
  [project]

• fDSST: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg.
  “Discriminative Scale Space Tracking.” TPAMI (2017).
  [paper]
  [project]

• SAMF: Yang Li, Jianke Zhu.
  “A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration.” ECCV workshop (2014).
  [paper]
  [github]

• SKCF: Solis Montero, Andres, Jochen Lang, Robert Laganiere.
  “Scalable Kernel Correlation Filter with Sparse Feature Integration.” ICCV workshop (2015).
  [paper]
  [project]
  [github]

• KCFDP/KCFDPT: Dafei Huang, Lei Luo, Mei Wen, Zhaoyun Chen and Chunyuan Zhang.
  “Enable Scale and Aspect Ratio Adaptability in Visual Tracking with Detection Proposals.” BMVC (2015).
  [paper]
  [github1]
  [github2]

• IBCCF: Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang.
  “Integrating Boundary and Center Correlation Filters for Visual Tracking With Aspect Ratio Variation.” ICCV workshop (2017).
  [paper]
  [github]

Multi kernel & feature & template & task

• MKCF: Ming Tang, Jiayi Feng.
  “Multi-kernel Correlation Filter for Visual Tracking.” ICCV (2015).
  [paper]
  [exe]

• CF+MT: Adel Bibi, Bernard Ghanem.
  “Multi-Template Scale Adaptive Kernelized Correlation Filters.” ICCV workshop (2015).
  [paper]
  [github]

• SCT: Jongwon Choi, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, and Jin Young Choi.
  “Visual Tracking Using Attention-Modulated Disintegration and Integration.” CVPR (2016).
  [paper]
  [project]

• MvCFT: Xin Li, Qiao Liu, Zhenyu He, Hongpeng Wang, Chunkai Zhang, Wen-Sheng Chen.
  “A Multi-view Model for Visual Tracking via Correlation Filters.” KNOSYS (2016).
  [paper]
  [exe]

• MCPF: Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang.
  “Multi-task Correlation Particle Filter for Robust Visual Tracking.” CVPR (2017).
  [paper]
  [exe]

Part-based

• RPAC: Liu Ting, Gang Wang, Qingxiong Yang.
  “Real-time part-based visual tracking via adaptive correlation filters.” CVPR (2015).
  [paper]

• RPAC+: Liu Ting, Gang Wang, Qingxiong Yang, Li Wang.
  “Part-based Tracking via Discriminative Correlation Filters.” TCSVT (2016).
  [paper]

• RPT: Yang Li, Jianke Zhu and Steven C.H. Hoi.
  “Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches.” CVPR (2015).
  [paper]
  [github]

• DPCF: Osman Akina, Erkut Erdema, Aykut Erdema, Krystian Mikolajczykb.
  “Deformable Part-based Tracking by Coupled Global and Local Correlation Filters.” JVCIR (2016).
  [paper]
  [code]

• DPT: Alan Lukežič, Luka Čehovin, Matej Kristan.
  “Deformable Parts Correlation Filters for Robust Visual Tracking.” CVPR (2016).
  [paper]

• StructCF: Si Liu, Tianzhu Zhang, Changsheng Xu, Xiaochun Cao.
  “Structural Correlation Filter for Robust Visual Tracking.” CVPR (2016).
  [paper]

• Rui Yao, Shixiong Xia, Zhen Zhang, Yanning Zhang.
  “Real-time Correlation Filter Tracking by Efficient Dense Belief Propagation with Structure Preserving.” TMM (2016).
  [paper]

• LGCF: Heng Fan, Jinhai Xiang.
  “Robust Visual Tracking via Local-Global Correlation Filter.” AAAI (2017).
  [paper]

• DCCO: Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg.
  “DCCO: Towards Deformable Continuous Convolution Operators.” arXiv (2017).
  [paper]

• SP-KCF: Xin Sun; Ngai-Man Cheung; Hongxun Yao; Yiluan Guo.
  “Non-Rigid Object Tracking via Deformable Patches Using Shape-Preserved KCF and Level Sets.” ICCV (2017).
  [paper]

Long-term

• LCT: Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang.
  “Long-term Correlation Tracking.” CVPR (2015).
  [paper]
  [project]
  [github]

• LCT+: Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang.
  “Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking.” IJCV (under review)
  [project]

• MUSTer: Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil Prokhorov, and Dacheng Tao.
  “MUlti-Store Tracker (MUSTer): a Cognitive Psychology Inspired Approach to Object Tracking.” CVPR (2015).
  [paper]
  [project]
  [code]

• CCT: Guibo Zhu, Jinqiao Wang, Yi Wu, Hanqing Lu.
  “Collobarative Correlation Tracking.” BMVC (2015).
  [paper]
  [code]

Response adaptation

• CF+AT: Adel Bibi, Matthias Mueller, and Bernard Ghanem.
  “Target Response Adaptation for Correlation Filter Tracking.” ECCV (2016).
  [paper]
  [github]

• RCF: Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang.
  “Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning.” ECCV (2016).
  [paper]

• OCT-KCF: Baochang Zhang, Zhigang Li, Xianbin Cao, Qixiang Ye, Chen Chen, Linlin Shen, Alessandro Perina, Rongrong Ji.
  “Output Constraint Transfer for Kernelized Correlation Filter in Tracking.” TSMC (2016).
  [paper]
  [github]

• Yao Sui, Guanghui Wang, Li Zhang.
  “Correlation Filter Learning Toward Peak Strength for Visual Tracking.” TCYB (2017).
  [paper]

Training set adaptation

• SRDCFdecon: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg.
  “Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking.” CVPR (2016).
  [paper]
  [project]

• ECO: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg.
  “ECO: Efficient Convolution Operators for Tracking.” CVPR (2017).
  [paper]
  [project]

Bound effect

• SRDCF: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg.
  “Learning Spatially Regularized Correlation Filters for Visual Tracking.” ICCV (2015).
  [paper]
  [project]

• CFLB Hamed Kiani Galoogahi, Terence Sim, Simon Lucey.
  “Correlation Filters with Limited Boundaries.” CVPR (2015).
  [paper]
  [project]
  [code]

• SWCF: Erhan Gundogdu, A. Aydın Alatan.
  “Spatial Windowing for Correlation Filter based Visual Tracking.” ICIP (2016).
  [paper]
  [code]

• CF+CA: Matthias Mueller, Neil Smith, Bernard Ghanem.
  “Context-Aware Correlation Filter Tracking.” CVPR (2017).
  [paper]
  [project]
  [github]

• CSR-DCF: Alan Lukežič, Tomáš Vojíř, Luka Čehovin, Jiří Matas, Matej Kristan.
  “Discriminative Correlation Filter with Channel and Spatial Reliability.” CVPR (2017).
  [paper]
  [github]

• MRCT: Hongwei Hu, Bo Ma, Jianbing Shen, Ling Shao.
  “Manifold Regularized Correlation Object Tracking.” TNNLS (2017).
  [paper]
  [github]

• BACF: Hamed Kiani Galoogahi, Ashton Fagg, Simon Lucey.
  “Learning Background-Aware Correlation Filters for Visual Tracking.” ICCV (2017).
  [paper]
  [supp]
  [code]
  [project]

Continuous

• C-COT: Martin Danelljan, Andreas Robinson, Fahad Khan, Michael Felsberg.
  “Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking.” ECCV (2016).
  [paper]
  [project]
  [github]

SVM

• SCF: Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang.
  “Learning Support Correlation Filters for Visual Tracking.” arXiv (2016).
  [paper]
  [project]

• LMCF: Mengmeng Wang, Yong Liu, Zeyi Huang.
  “Large Margin Object Tracking with Circulant Feature Maps.” CVPR (2017).
  [paper]
  [zhihu]

Deep

• HCFT: Chao Ma, Jia-Bin Huang, Xiaokang Yang and Ming-Hsuan Yang.
  “Hierarchical Convolutional Features for Visual Tracking.” ICCV (2015)
  [paper]
  [project]
  [github]

• HCFT+: Chao Ma, Yi Xu, Bingbing Ni, Xiaokang Yang.
  “When Correlation Filters Meet Convolutional Neural Networks for Visual Tracking.” SPL (2016).
  [paper]

• HCFTstar: Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang.
  “Robust Visual Tracking via Hierarchical Convolutional Features.” arXiv (2017).
  [paper]
  [project]
  [github]

• DeepSRDCF: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg.
  “Convolutional Features for Correlation Filter Based Visual Tracking.” ICCV workshop (2015).
  [paper]
  [project]

• HDT: Yuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim, Ming-Hsuan Yang.
  “Hedged Deep Tracking.” CVPR (2016).
  [paper]
  [project]

• ACFN: Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris.
  “Attentional Correlation Filter Network for Adaptive Visual Tracking.” CVPR (2017).
  [paper]
  [project]

• CFNet: Jack Valmadre, Luca Bertinetto, João Henriques, Andrea Vedaldi, Philip Torr.
  “End-to-end Representation Learning for Correlation Filter based Tracking.” CVPR (2017).
  [paper]
  [project]
  [github]

• DCFNet: Qiang Wang, Jin Gao, Junliang Xing, Mengdan Zhang, Weiming Hu.
  “DCFNet: Discriminant Correlation Filters Network for Visual Tracking.” arXiv (2017).
  [paper]
  [github]

• CFCF Erhan Gundogdu, A. Aydin Alatan.
  “Good Features to Correlate for Visual Tracking.” arXiv (2017).
  [paper]

• CREST: Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson Lau, Ming-Hsuan Yang.
  “CREST: Convolutional Residual Learning for Visual Tracking.” ICCV (2017 Spotlight).
  [paper]
  [project]
  [github]

• CFWCR: Zhiqun He, Yingruo Fan, Junfei Zhuang, Yuan Dong, HongLiang Bai.
  “Correlation Filters With Weighted Convolution Responses.” ICCV workshop (2017).
  [paper]
  [github]