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.
• You can find more plots in the OTB code folder of the repository.

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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