[The repository will be updated from time to time] This page focuses on watching the state-of-the-art performance for the short-term tracking task (if you are interested in the long-term tracking task, please visit here). The evaluation datasets include: LaSOT, VOT2019, VOT2018, TrackingNet, GOT-10k, NFS, UAV123, TC-128, OTB-100.
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TOP-One Performance on All Datasets:
LaSOT VOT2019 VOT2018 TrackingNet Got-10k NFS UAV123 TC-128 OTB-100 Success EAO EAO Success Success Success Success Success Success 0.648 0.395 0.489 0.812 0.649 0.639 0.680 0.649 0.712 -
LaSOT:
Tracker Success Score Speed (fps) Paper/Code Siam R-CNN (CVPR20) 0.648 5 (Tesla V100) Paper/Code PrDiMP50 (CVPR20) 0.598 30 (Unkown GPU) Paper/Code LTMU (CVPR20) 0.572 13 (RTX 2080Ti) Paper/Code DiMP50 (ICCV19) 0.568 43 (GTX 1080) Paper/Code Ocean-Online (ECCV20) 0.560 58 (Tesla V100) Paper/Code SiamAttn (CVPR20) 0.560 45 (RTX 2080Ti) Paper/Code SiamFC++GoogLeNet (AAAI20) 0.544 90 (RTX 2080Ti) Paper/Code DROL-RPN (AAAI20) 0.537 30 (GTX 1080Ti) Paper/Code MAML-FCOS (CVPR20) 0.523 42 (NVIDIA P100) Paper/Code SiamAttn (CVPR20) 0.560 45 (RTX 2080Ti) Paper/Code SiamFC++GoogLeNet (AAAI20) 0.544 90 (RTX 2080Ti) Paper/Code MAML-FCOS (CVPR20) 0.523 42 (NVIDIA P100) Paper/Code GlobalTrack (AAAI20) 0.521 6 (GTX TitanX) Paper/Code ATOM (CVPR19) 0.515 30 (GTX 1080) Paper/Code SiamBAN (CVPR20) 0.514 40 (GTX 1080Ti) Paper/Code SiamCar (CVPR20) 0.507 52 (RTX 2080Ti) Paper/Code SiamRPN++ (CVPR19) 0.496 35 (Titan XP) Paper/Code ROAM++ (CVPR20) 0.447 20 (RTX 2080) Paper/Code SPLT (ICCV19) 0.426 26 (GTX 1080Ti) Paper/Code MDNet (CVPR16) 0.397 5 (GTX 1080Ti) Paper/Code ROAM++ (CVPR20) 0.447 20 (RTX 2080) Paper/Code SPLT (ICCV19) 0.426 26 (GTX 1080Ti) Paper/Code MDNet (CVPR16) 0.397 5 (GTX 1080Ti) Paper/Code - MDNet is the best tracker in the original LaSOT paper.
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VOT2019:
Tracker EAO Accuracy (A) Robustness (R) Paper/Code DRNet (VOT2019) 0.395 0.605 0.261 Code SiamMargin (VOT2019) 0.366 0.578 65 Paper/Code Ocean-Online (ECCV20) 0.350 0.594 0.316 Paper/Code - DRNet is the best tracker in the original VOT2019 report.
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VOT2018:
Tracker EAO Accuracy (A) Robustness (R) Paper/Code Ocean-Online (ECCV20) 0.489 0.592 0.117 Paper/Code D3S (CVPR20) 0.489 0.640 0.150 Paper/Code DROL-RPN (AAAI20) 0.489 0.613 0.112(24) Paper/Code SiamAttn (CVPR20) 0.470 0.63 0.16 Paper/Code D3S (CVPR20) 0.489 0.640 0.150 Paper/Code SiamAttn (CVPR20) 0.470 0.63 0.16 Paper/Code MAML-Retina (CVPR20) 0.452 0.604 0.159 Paper/Code SiamBAN (CVPR20) 0.452 0.597 0.178 Paper/Code PrDiMP50 (CVPR20) 0.442 0.618 0.165 Paper/Code DiMP50 (ICCV19) 0.440 0.587 0.153 Paper/Code SiamFC++GoogLeNet (AAAI20) 0.426 0.587 0.183 Paper/Code SiamRPN++ (CVPR19) 0.414 0.600 0.234 Paper/Code Siam R-CNN (CVPR20) 0.408 0.597 0.220 Paper/Code ATOM (CVPR19) 0.401 0.590 0.204 Paper/Code LADCF (VOT2018) 0.389 0.503 0.159 Code - VOT2018 and VOT2017 have same sequences. VOT2013 to VOT2016 are small-scale and out-of-date.
- LADCF is the best tracker in the original VOT2018 report.
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TrackingNet:
Tracker Success Score Norm Precision Score Speed (fps) Paper/Code Siam R-CNN (CVPR20) 0.812 0.854 5 (Tesla V100) Paper/Code PrDiMP50 (CVPR20) 0.758 0.816 30 (Unkown GPU) Paper/Code MAML-FCOS (CVPR20) 0.757 0.822 42 (NVIDIA P100) Paper/Code SiamAttn (CVPR20) 0.752 0.817 45 (RTX 2080Ti) Paper/Code DROL-RPN (AAAI20) 0.746 0.817 30 (GTX 1080Ti) Paper/Code DiMP50 (ICCV19) 0.740 0.801 43 (GTX 1080) Paper/Code MAML-FCOS (CVPR20) 0.757 0.822 42 (NVIDIA P100) Paper/Code SiamAttn (CVPR20) 0.752 0.817 45 (RTX 2080Ti) Paper/Code DiMP50 (ICCV19) 0.740 0.801 43 (GTX 1080) Paper/Code SiamRPN++ (CVPR19) 0.733 0.800 35 (Titan XP) Paper/Code - The performance on TrackingNet is improved very fast. Here merely list the trackers performing better than SiamRPN++.
- TrackingNet Leaderboard：http://eval.tracking-net.org/web/challenges/challenge-page/39/leaderboard
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GOT-10k:
Tracker Success Score (AO) Speed (fps) Paper/Code Siam R-CNN (CVPR20) 0.649 5 (Tesla V100) Paper/Code PrDiMP50 (CVPR20) 0.634 30 (Unkown GPU) Paper/Code DiMP50 (ICCV19) 0.611 43 (GTX 1080) Paper/Code Ocean-Online (ECCV20) 0.611 58 (Tesla V100) Paper/Code D3S (CVPR20) 0.597 25 (GTX 1080) Paper/Code D3S (CVPR20) 0.597 25 (GTX 1080) Paper/Code ATOM (CVPR19) 0.556 30 (GTX 1080) Paper/Code - The performance on GOT-10k has been improved significantly after ATOM. Here merely list the trackers performing better than ATOM.
- GOT-10k leaderboard: http://got-10k.aitestunion.com/leaderboard
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NFS:
Tracker Success Score Speed (fps) Paper/Code Siam R-CNN (CVPR20) 0.639 5 (Tesla V100) Paper/Code PrDiMP50 (CVPR20) 0.635 30 (Unkown GPU) Paper/Code DiMP50 (ICCV19) 0.620 43 (GTX 1080) Paper/Code -
UAV123:
Tracker Success Score Speed (fps) Paper/Code PrDiMP50 (CVPR20) 0.680 30 (Unkown GPU) Paper/Code DiMP50 (ICCV19) 0.654 43 (GTX 1080) Paper/Code DROL-RPN (AAAI20) 0.652-0.855 30 (GTX 1080Ti) Paper/Code Siam R-CNN (CVPR20) 0.649 5 (Tesla V100) Paper/Code Siam R-CNN (CVPR20) 0.649 5 (Tesla V100) Paper/Code ATOM (CVPR19) 0.643 30 (GTX 1080) Paper/Code SiamRPN++ (CVPR19) 0.642 35 (Titan XP) Paper/Code -
TC-128:
Tracker Success Score Speed (fps) Paper/Code Siam R-CNN (CVPR20) 0.649 5 (Tesla V100) Paper/Code UPDT (ECCV2018) 0.622 N/A Paper -
OTB-100/OTB-2015:
Tracker Success Score Precision Score Speed (fps) Paper/Code DROL-RPN (AAAI) 0.715 0.937 30 (GTX 1080Ti) Paper/Code SiamAttn (CVPR20) 0.712 0.926 45 (RTX 2080Ti) Paper/Code SiamAttn (CVPR20) 0.712 0.926 45 (RTX 2080Ti) Paper/Code UPDT (ECCV2018) 0.702 0.931 N/A Paper Siam R-CNN (CVPR20) 0.701 0.891 5 (Tesla V100) Paper/Code DRT (CVPR18) 0.699 0.923 N/A Paper/Code PrDiMP50 (CVPR20) 0.696 N/A 30 (Unkown GPU) Paper/Code SiamRPN++ (CVPR19) 0.696 0.914 35 (Titan XP) Paper/Code MCCT (CVPR18) 0.696 0.914 8 (GTX 1080Ti) Paper/Code SiamBAN (CVPR20) 0.696 0.910 40 (GTX 1080Ti) Paper/Code GFS-DCF (ICCV19) 0.693 0.932 8 (Titan X) Paper/Code SACF (ECCV18) 0.693 0.917 23 (GTX Titan) Paper ASRCF(CVPR19) 0.692 0.922 28 (GTX 1080Ti) Paper/Code LSART (CVPR18) 0.691 0.923 1 (Titan X) Paper/Code ECO (CVPR17) 0.691 N/A 8 (Unkown GPU) Paper/M-Code/P-Code - Too many trackers are tested on OTB-100, here merely list the SOTA trackers whose success scores are larger than 0.690.
- OTB-50 and OTB-2013 are similar subsets of OTB-100.
- It seems that the OTB-100 dataset has already been overfitting.
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List:
Datasets #videos #total/min/max/average frames Absent Label LaSOT 1,400 (I-all-1,400/II-test-280) 3.52M/1,000/11,397/2,506 Yes VOT2018 No TrackingNet No GOT-10k train-10k, val-180, test-180 1.5M No NfS 100 383K/169/20,665/3,830 No UAV123 123 113K/109/3,085/915 No OTB-2015 100 59K/71/3,872/590 No TC-128 128 55K/71/3,872/429 No ALOV300++ 315 8.9K/XXXX/XXXX/284 No NUS-PRO 365 135K/146/5,040/371 No - OTB-2013/OTB-50 is a subset of OTB-2015.
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2020:
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High-Performance Long-Term Tracking with Meta-Updater. CVPR, 2020.
Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang. [Paper][Code] -
Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises. CVPR, 2020.
Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang. [Paper][Code] -
Siam R-CNN: Visual Tracking by Re-Detection. CVPR, 2020.
Paul Voigtlaender, Jonathon Luiten, Philip H. S. Torr, Bastian Leibe. [Paper][Code] -
Probabilistic Regression for Visual Tracking. CVPR, 2020.
Martin Danelljan, Luc Van Gool, Radu Timofte. [Paper][Code] -
D3S - A Discriminative Single Shot Segmentation Tracker. CVPR, 2020.
Alan Lukezic, Jiri Matas, Matej Kristan. [Paper][Code] -
Tracking by Instance Detection: A Meta-Learning Approach. CVPR, 2020.
Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng: Tracking by Instance Detection: A Meta-Learning Approach. [Paper][Code] -
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking. CVPR, 2020.
Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen. [Paper][Code] -
Siamese Box Adaptive Network for Visual Tracking. CVPR, 2020.
Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji. [Paper][Code] -
Deformable Siamese Attention Networks for Visual Object Tracking. CVPR, 2020.
Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott. [Paper][Code] -
MAST: A Memory-Augmented Self-supervised Tracker. CVPR, 2020.
Zihang Lai, Erika Lu, Weidi Xie. [Paper][Code] -
ROAM: Recurrently Optimizing Tracking Model. CVPR, 2020.
Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan. [Paper][Code] -
AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization. CVPR, 2020.
Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Geng Lu. [Paper][Code]
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2019:
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Unsupervised Deep Tracking. CVPR, 2019.
Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li. [Paper][Code] -
Fast Online Object Tracking and Segmentation: A Unifying Approach. CVPR, 2019.
Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr. [Paper] -
Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters. CVPR, 2019.
Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas. [Paper] -
Target-Aware Deep Tracking. CVPR, 2019.
Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang. [Paper] -
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking. CVPR, 2019.
Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng. [Paper] -
SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks. CVPR, 2019.
Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan. [Paper] -
Deeper and Wider Siamese Networks for Real-Time Visual Tracking. CVPR, 2019.
Zhipeng Zhang, Houwen Peng. [Paper] -
Graph Convolutional Tracking. CVPR, 2019.
Junyu Gao, Tianzhu Zhang, Changsheng Xu. [Paper] -
ATOM: Accurate Tracking by Overlap Maximization. CVPR, 2019.
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. [Paper] -
Visual Tracking via Adaptive Spatially-Regularized Correlation Filters. CVPR, 2019.
Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li. [Paper] -
LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking. CVPR, 2019.
Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling. [Paper] -
ROI Pooled Correlation Filters for Visual Tracking. CVPR, 2019.
Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu. [Paper] -
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking. CVPR, 2019.
Heng Fan, Haibin Ling. [Paper] -
Deep Meta Learning for Real-Time Target-Aware Visual Tracking. ICCV, 2019.
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee. [Paper -
'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking. ICCV, 2019.
Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang. [Paper] -
Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking. ICCV, 2019.
Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu. [Paper] -
Physical Adversarial Textures That Fool Visual Object Tracking. ICCV, 2019.
Rey Reza Wiyatno, Anqi Xu. [Paper] -
GradNet: Gradient-Guided Network for Visual Object Tracking. ICCV, 2019.
Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu. [Paper] -
Learning Discriminative Model Prediction for Tracking. ICCV, 2019.
Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte. [Paper] -
Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking. ICCV, 2019.
Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler. [Paper] -
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. ICCV, 2019.
Alan Lukezic, Ugur Kart, Jani Kapyla, Ahmed Durmush, Joni-Kristian Kamarainen, Jiri Matas, Matej Kristan. [Paper]
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2018:
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Context-Aware Deep Feature Compression for High-Speed Visual Tracking. CVPR, 2018.
Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi. [Paper] -
Correlation Tracking via Joint Discrimination and Reliability Learning. CVPR, 2018.
Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. [Paper] -
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning. CVPR, 2018.
Xingping Dong, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, Fatih Porikli. [Paper] -
End-to-End Flow Correlation Tracking With Spatial-Temporal Attention. CVPR, 2018.
Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan. [Paper] -
Efficient Diverse Ensemble for Discriminative Co-Tracking. CVPR, 2018.
Kourosh Meshgi, Shigeyuki Oba, Shin Ishii. [Paper] -
A Twofold Siamese Network for Real-Time Object Tracking. CVPR, 2018.
Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng. [Paper] -
Multi-Cue Correlation Filters for Robust Visual Tracking. CVPR, 2018.
Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li. [Paper] -
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking. CVPR, 2018.
Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu, Stephen Maybank. [Paper] -
SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation. CVPR, 2018.
Xiao Wang, Chenglong Li, Bin Luo, Jin Tang. [Paper] -
High-Speed Tracking With Multi-Kernel Correlation Filters. CVPR, 2018.
Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang. [Paper] -
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking. CVPR, 2018.
Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang. [Paper] -
Learning Spatial-Aware Regressions for Visual Tracking. CVPR, 2018.
Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. [Paper] -
High Performance Visual Tracking With Siamese Region Proposal Network. CVPR, 2018.
Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, Xiaolin Hu. [Paper] -
VITAL: VIsual Tracking via Adversarial Learning. CVPR, 2018.
Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W.H. Lau, Ming-Hsuan Yang. [Paper] -
Distractor-aware Siamese Networks for Visual Object Tracking. ECCV, 2018.
Zheng Zhu, Qiang Wang, Bo Li, Wei Wu, Junjie Yan, Weiming Hu. [Paper] -
Learning Dynamic Memory Networks for Object Tracking. ECCV, 2018.
Tianyu Yang, Antoni B. Chan. [Paper] -
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild. ECCV, 2018.
Matthias Muller, Adel Bibi, Silvio Giancola, Salman Alsubaihi, Bernard Ghanem. [Paper] -
Structured Siamese Network for Real-Time Visual Tracking. ECCV, 2018.
Yunhua Zhang, Lijun Wang, Jinqing Qi, Dong Wang, Mengyang Feng, Huchuan Lu. [Paper] -
Triplet Loss in Siamese Network for Object Tracking. ECCV, 2018.
Xingping Dong, Jianbing Shen. [Paper] -
Real-time 'Actor-Critic' Tracking. ECCV, 2018.
Boyu Chen, Dong Wang, Peixia Li, Shuang Wang, Huchuan Lu. [Paper] -
Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking. ECCV, 2018.
Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo. [Paper] -
Visual Tracking via Spatially Aligned Correlation Filters Network. ECCV, 2018.
Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Steve Maybank. [Paper] -
Deep Reinforcement Learning with Iterative Shift for Visual Tracking. ECCV, 2018.
Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou. [Paper] -
Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking. ECCV, 2018.
Chenglong Li, Chengli Zhu, Yan Huang, Jin Tang, Liang Wang. [Paper] -
Long-term Tracking in the Wild: a Benchmark. ECCV, 2018.
Jack Valmadre, Luca Bertinetto, Joao F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W.M. Smeulders, Philip H.S. Torr, Efstratios Gavves. [Paper] -
Deep Regression Tracking with Shrinkage Loss. ECCV, 2018.
Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang. [Paper] -
Unveiling the Power of Deep Tracking. ECCV, 2018.
Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg. [Paper]
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2017:
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Context-Aware Correlation Filter Tracking. CVPR, 2017.
Matthias Mueller, Neil Smith, Bernard Ghanem. [Paper] -
Superpixel-Based Tracking-By-Segmentation Using Markov Chains. CVPR, 2017.
Donghun Yeo, Jeany Son, Bohyung Han, Joon Hee Han. [Paper] -
Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning. CVPR, 2017.
Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi. [Paper] -
End-To-End Representation Learning for Correlation Filter Based Tracking. CVPR, 2017.
Jack Valmadre, Luca Bertinetto, Joao Henriques, Andrea Vedaldi, Philip H. S. Torr. [Paper] -
Large Margin Object Tracking With Circulant Feature Maps. CVPR, 2017.
Mengmeng Wang, Yong Liu, Zeyi Huang. [Paper] -
Multi-Task Correlation Particle Filter for Robust Object Tracking. CVPR, 2017.
Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. [Paper] -
Attentional Correlation Filter Network for Adaptive Visual Tracking. CVPR, 2017.
Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, Jin Young Choi. [Paper] -
Robust Visual Tracking Using Oblique Random Forests. CVPR, 2017.
Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja, Pierre Moulin. [Paper] -
Tracking by Natural Language Specification. CVPR, 2017.
Zhenyang Li, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W.M. Smeulders. [Paper] -
ECO: Efficient Convolution Operators for Tracking. CVPR, 2017.
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. [Paper] -
Learning Policies for Adaptive Tracking With Deep Feature Cascades. ICCV, 2017.
Chen Huang, Simon Lucey, Deva Ramanan. [Paper] -
Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning. ICCV, 2017.
James Supancic,III, Deva Ramanan. [Paper] -
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking. ICCV, 2017.
Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey. [Paper] -
Learning Background-Aware Correlation Filters for Visual Tracking. ICCV, 2017.
Hamed Kiani Galoogahi, Ashton Fagg, Simon Lucey. [Paper] -
Robust Object Tracking Based on Temporal and Spatial Deep Networks. ICCV, 2017.
Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin. [Paper] -
Learning Dynamic Siamese Network for Visual Object Tracking. ICCV, 2017.
Qing Guo, Wei Feng, Ce Zhou, Rui Huang, Liang Wan, Song Wang. [Paper] -
CREST: Convolutional Residual Learning for Visual Tracking. ICCV, 2017.
Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson W. H. Lau, Ming-Hsuan Yang. [Paper] -
Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking. ICCV, 2017.
Luka Cehovin Zajc, Alan Lukezic, Ales Leonardis, Matej Kristan. [Paper] -
Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking. ICCV, 2017.
Heng Fan, Haibin Ling. [Paper] -
Non-Rigid Object Tracking via Deformable Patches Using Shape-Preserved KCF and Level Sets. ICCV, 2017.
Xin Sun, Ngai-Man Cheung, Hongxun Yao, Yiluan Guo. [Paper] -
Learning Policies for Adaptive Tracking With Deep Feature Cascades. ICCV, 2017.
Chen Huang, Simon Lucey, Deva Ramanan. [Paper]
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2016:
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Beyond Local Search: Tracking Objects Everywhere With Instance-Specific Proposals. CVPR, 2016.
Gao Zhu, Fatih Porikli, Hongdong Li. [Paper] -
STCT: Sequentially Training Convolutional Networks for Visual Tracking. CVPR, 2016.
Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu. [Paper] -
Staple: Complementary Learners for Real-Time Tracking. CVPR, 2016.
Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H. S. Torr. [Paper] -
Siamese Instance Search for Tracking. CVPR, 2016.
Ran Tao, Efstratios Gavves, Arnold W.M. Smeulders. [Paper] -
Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. CVPR, 2016.
Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan, Michael Felsberg. [Paper] -
Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. CVPR, 2016.
Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan, Michael Felsberg. [Paper] -
Recurrently Target-Attending Tracking. CVPR, 2016.
Zhen Cui, Shengtao Xiao, Jiashi Feng, Shuicheng Yan. [Paper] -
In Defense of Sparse Tracking: Circulant Sparse Tracker. CVPR, 2016.
Tianzhu Zhang, Adel Bibi, Bernard Ghanem. [Paper] -
Object Tracking via Dual Linear Structured SVM and Explicit Feature Map. CVPR, 2016.
Jifeng Ning, Jimei Yang, Shaojie Jiang, Lei Zhang, Ming-Hsuan Yang. [Paper] -
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking. CVPR, 2016.
Hyeonseob Nam, Bohyung Han. [Paper] -
Hedged Deep Tracking. CVPR, 2016.
Yuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim, Ming-Hsuan Yang. [Paper] -
Target Response Adaptation for Correlation Filter Tracking. ECCV, 2016.
Adel Bibi, Matthias Mueller, Bernard Ghanem. -
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. ECCV, 2016.
Martin Danelljan, Andreas Robinson, Fahad Khan, Michael Felsberg. -
Structural Correlation Filter for Robust Visual Tracking. CVPR, 2016.
Si Liu, Tianzhu Zhang, Xiaochun Cao, Changsheng Xu. [Paper] -
Visual Tracking Using Attention-Modulated Disintegration and Integration. CVPR, 2016.
Jongwon Choi, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi. [Paper] -
A Benchmark and Simulator for UAV Tracking. ECCV, 2016.
Matthias Mueller, Bernard Ghanem, Neil Smith. -
Distractor-supported single target tracking in extremely cluttered scenes. ECCV, 2016.
Jingjing Xiao, Linbo Qiao, Rustam Stolkin, leš Leonardis. -
Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning. ECCV, 2016.
Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang.
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2015:
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Structural Sparse Tracking. CVPR, 2015.
Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, Ming-Hsuan Yang. [Paper] -
Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches. CVPR, 2015.
Yang Li, Jianke Zhu, Steven C.H. Hoi. [Paper] -
MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking. CVPR, 2015.
Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil Prokhorov, Dacheng Tao. [Paper] -
In Defense of Color-Based Model-Free Tracking. CVPR, 2015.
Horst Possegger, Thomas Mauthner, Horst Bischof. [Paper] -
JOTS: Joint Online Tracking and Segmentation. CVPR, 2015.
Longyin Wen, Dawei Du, Zhen Lei, Stan Z. Li, Ming-Hsuan Yang. [Paper] -
Clustering of Static-Adaptive Correspondences for Deformable Object Tracking. CVPR, 2015.
Georg Nebehay, Roman Pflugfelder. [Paper] -
Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters. CVPR, 2015.
Ting Liu, Gang Wang, Qingxiong Yang. [Paper] -
Multihypothesis Trajectory Analysis for Robust Visual Tracking. CVPR, 2015.
Dae-Youn Lee, Jae-Young Sim, Chang-Su Kim. [Paper] -
Long-Term Correlation Tracking. CVPR, 2015.
Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang. [Paper] -
Discriminative Low-Rank Tracking. ICCV, 2015.
Yao Sui, Yafei Tang, Li Zhang. [Paper] -
SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking. ICCV, 2015.
Han-Ul Kim, Dae-Youn Lee, Jae-Young Sim, Chang-Su Kim. [Paper] -
Multi-Kernel Correlation Filter for Visual Tracking. ICCV, 2015.
Ming Tang, Jiayi Feng. [Paper] -
Tracking-by-Segmentation With Online Gradient Boosting Decision Tree. ICCV, 2015.
Jeany Son, Ilchae Jung, Kayoung Park, Bohyung Han. [Paper] -
Exploring Causal Relationships in Visual Object Tracking. ICCV, 2015.
Karel Lebeda, Simon Hadfield, Richard Bowden. [Paper] -
Hierarchical Convolutional Features for Visual Tracking. ICCV, 2015.
Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang. [Paper] -
Online Object Tracking With Proposal Selection. ICCV, 2015.
Yang Hua, Karteek Alahari, Cordelia Schmid. [Paper] -
Understanding and Diagnosing Visual Tracking Systems. ICCV, 2015.
Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia. [Paper] -
Visual Tracking With Fully Convolutional Networks. ICCV, 2015.
Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu. [Paper] -
Multiple Feature Fusion via Weighted Entropy for Visual Tracking. ICCV, 2015.
Lin Ma, Jiwen Lu, Jianjiang Feng, Jie Zhou. [Paper] -
Local Subspace Collaborative Tracking. ICCV, 2015.
Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, Jie Zhou. [Paper] -
Learning Spatially Regularized Correlation Filters for Visual Tracking. ICCV, 2015.
Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan, Michael Felsberg. [Paper] -
TRIC-track: Tracking by Regression With Incrementally Learned Cascades. ICCV, 2015.
Xiaomeng Wang, Michel Valstar, Brais Martinez, Muhammad Haris Khan, Tony Pridmore. [Paper] -
Linearization to Nonlinear Learning for Visual Tracking. ICCV, 2015.
Bo Ma, Hongwei Hu, Jianbing Shen, Yuping Zhang, Fatih Porikli. [Paper]
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2014:
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Adaptive Color Attributes for Real-Time Visual Tracking. CVPR, 2014.
Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Joost van de Weijer. [Paper[ -
Multi-Cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation. CVPR, 2014.
Xiangyuan Lan, Andy J. Ma, Pong C. Yuen. [Paper] -
Multi-Forest Tracker: A Chameleon in Tracking. CVPR, 2014.
David J. Tan, Slobodan Ilic. [Paper] -
Pyramid-based Visual Tracking Using Sparsity Represented Mean Transform. CVPR, 2014.
Zhe Zhang, Kin Hong Wong. [Paper] -
Partial Occlusion Handling for Visual Tracking via Robust Part Matching. CVPR, 2014.
Tianzhu Zhang, Kui Jia, Changsheng Xu, Yi Ma, Narendra Ahuja. [Paper] -
Speeding Up Tracking by Ignoring Features. CVPR, 2014.
Lu Zhang, Hamdi Dibeklioglu, Laurens van der Maaten. [Paper] -
Online Object Tracking, Learning and Parsing with And-Or Graphs. CVPR, 2014.
Yang Lu, Tianfu Wu, Song Chun Zhu. [Paper] -
Visual Tracking via Probability Continuous Outlier Model. CVPR, 2014.
Dong Wang, Huchuan Lu. [Paper] -
Visual Tracking Using Pertinent Patch Selection and Masking. CVPR, 2014.
Dae-Youn Lee, Jae-Young Sim, Chang-Su Kim. [Paper] -
Interval Tracker: Tracking by Interval Analysis. CVPR, 2014.
Junseok Kwon, Kyoung Mu Lee. [Paper] -
Unifying Spatial and Attribute Selection for Distracter-Resilient Tracking. CVPR, 2014.
Nan Jiang, Ying Wu. [Paper] -
Visual Tracking by Sampling Tree-Structured Graphical Models. ECCV, 2014.
Seunghoon Hong, Bohyung Han. -
Description-Discrimination Collaborative Tracking. ECCV, 2014.
Dapeng Chen, Zejian Yuan,Gang Hua, Yang Wu, Nanning Zheng. -
Online, Real-Time Tracking using a Category-to-Individual Detector. ECCV, 2014.
David Hall, Pietro Perona. -
Robust Visual Tracking with Double Bounding Box Model. ECCV, 2014.
Junseok Kwon, Junha Roh, Kyoung Mu Lee, Luc Van Gool. -
Transfer Learning Based Visual Tracking with Gaussian Process Regression. ECCV, 2014.
Jin Gao, Haibin Ling, Weiming Hu, Junliang Xing. -
Online Graph-Based Tracking. ECCV, 2014.
Hyeonseob Nam , Seunghoon Hong, Bohyung Han. -
Fast Visual Tracking via Dense Spatio-Temporal Context Learning. ECCV, 2014.
Kaihua Zhang, Lei Zhang, Qingshan Liu, David Zhang, Ming-Hsuan Yang. -
Extended Lucas-Kanade Tracking. ECCV, 2014.
Shaul Oron, Aharon Bar-Hillel, Shai Avidan. -
Appearances can be deceiving: Learning visual tracking from few trajectory annotations. ECCV, 2014.
Santiago Manen, Junseok Kwon, Matthieu Guillaumin, Luc Van Gool. -
Tracking using Multilevel Quantizations. ECCV, 2014.
Zhibin Hong, Chaohui Wang, Xue Mei, Danil Prokhorov, Dacheng Tao. -
Occlusing and Motion Reasoning for Long-term Tracking. ECCV, 2014.
Yang Hua, Karteek Alahari, Cordelia Schmid. -
MEEM: Robust Tracking via Multiple Experts using Entropy Minimization. ECCV, 2014.
Jianming Zhang, Shugao Ma, Stan Sclaroff. -
A Superior Tracking Approach: Building a strong Tracker through Fusion. ECCV, 2014.
Christian Bailer, Alain Pagani, Didier Stricker.
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2013:
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Visual Tracking via Locality Sensitive Histograms. CVPR, 2013.
Shengfeng He, Qingxiong Yang, Rynson W.H. Lau, Jiang Wang, Ming-Hsuan Yang. -
Online Object Tracking: A Benchmark. CVPR, 2013.
Yi Wu, Jongwoo Lim, Ming-Hsuan Yang. -
Learning Compact Binary Codes for Visual Tracking. CVPR, 2013.
Xi Li, Chunhua Shen, Anthony Dick, Anton van den Hengel. -
Least Soft-Threshold Squares Tracking. CVPR, 2013.
Dong Wang, Huchuan Lu, Ming-Hsuan Yang. -
Part-Based Visual Tracking with Online Latent Structural Learning. CVPR, 2013.
Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel. -
Minimum Uncertainty Gap for Robust Visual Tracking. CVPR, 2013.
Junseok Kwon, Kyoung Mu Lee. -
Structure Preserving Object Tracking. CVPR, 2013.
Lu Zhang, Laurens van der Maaten. -
Self-Paced Learning for Long-Term Tracking. CVPR, 2013.
James S. Supancic III, Deva Ramanan. -
Tracking via Robust Multi-task Multi-view Joint Sparse Representation. ICCV, 2013.
Zhibin Hong, Xue Mei, Danil Prokhorov, Dacheng Tao. -
Online Robust Non-negative Dictionary Learning for Visual Tracking. ICCV, 2013.
Naiyan Wang, Jingdong Wang, Dit-Yan Yeung. -
Robust Object Tracking with Online Multi-lifespan Dictionary Learning. ICCV, 2013.
Junliang Xing, Jin Gao, Bing Li, Weiming Hu, Shuicheng Yan. -
Finding the Best from the Second Bests - Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms. ICCV, 2013.
Yu Pang, Haibin Ling. -
PixelTrack: A Fast Adaptive Algorithm for Tracking Non-rigid Objects. ICCV, 2013.
Stefan Duffner, Christophe Garcia. -
Discriminant Tracking Using Tensor Representation with Semi-supervised Improvement.ICCV, 2013.
Jin Gao, Junliang Xing, Weiming Hu, Steve Maybank. -
Initialization-Insensitive Visual Tracking through Voting with Salient Local Features. ICCV, 2013.
Kwang Moo Yi, Hawook Jeong, Byeongho Heo, Hyung Jin Chang, Jin Young Choi. -
Randomized Ensemble Tracking. ICCV, 2013.
Qinxun Bai, Zheng Wu, Stan Sclaroff, Margrit Betke, Camille Monnier. -
Tracking Revisited Using RGBD Camera: Unified Benchmark and Baselines. ICCV, 2013.
Shuran Song, Jianxiong Xiao. -
Modeling Self-Occlusions in Dynamic Shape and Appearance Tracking. ICCV, 2013.
Yanchao Yang, Ganesh Sundaramoorthi. -
Orderless Tracking through Model-Averaged Posterior Estimation. ICCV, 2013.
Seunghoon Hong, Suha Kwak, Bohyung Han.
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Before 2013:
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Survey & Book:
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Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends. ACM CS, 2019.
Mustansar Fiaz, Arif Mahmood, Sajid Javed, Soon Ki Jung. -
Online Visual Tracking. Springer, 2019.
Huchuan Lu, Dong Wang. -
Deep Visual Tracking: Review and Experimental Comparison. PR, 2018.
Peixia Li, Dong Wang, Lijun Wang, Huchuan Lu. -
Visual Tracking: An Experimental Survey. IEEE TPAMI, 2014.
Arnold W. M. Smeulders, Dung Manh Chu, Rita Cucchiara, Simone Calderara, Afshin Dehghan, Mubarak Shah. -
A Survey of Appearance Models in Visual Object Tracking. ACM TIST, 2013.
Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony R. Dick, Anton van den Hengel. -
Object Tracking: A Survey. ACM CS, 2006.
Alper Yilmaz, Omar Javed, Mubarak Shah.
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Resources: