Online-Visual-Tracking-SOTA

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, TrackingNet, GOT-10k, NOTU (NFS, OTB100, TC128, UAV123) and VOT family. If you are also interested in some resources on Paper Writting (computer vision), please visit here.

Transformer Tracking Era

• Benchmark Results

  Tracker	LaSOT (AUC)	TrackingNet (AUC)	GOT-10K (AO)
  OSTrack(-384)	0.711	0.839	0.737
  SimTrack(-L/14)	0.705	0.834	0.698
  SwinTrack(-B-384)	0.702	0.840	0.694*
  MixFormer(-L)	0.701	0.839	0.712*
  AiATrack	0.690	0.827	0.696
  ToMP(-101)	0.685	0.815	--
  SBT(-large)	0.667	--	0.704
  Stark(-ST101)	0.671	0.820	0.688
  CSWinTT	0.662	0.819	0.694
  TransT	0.649	0.814	0.671
  TrDimp	0.639	0.784	0.671
  Siam R-CNN	0.648	0.812	0.649
  DiMP	0.568	0.740	0.611
  SiamRPN++	0.496	0.733	0.517

  • Baseline: SiamRPN++, DiMP, Siam R-CNN

• Reference

  • OSTrack--Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework. ECCV, 2022.
    Botao Ye, Hong Chang, Bingpeng Ma, Shiguang Shan. [Paper][Code]
    

  • SimTrack--Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking. ECCV, 2022.
    Boyu Chen, Peixia Li, Lei Bai, Lei Qiao, Qiuhong Shen, Bo Li, Weihao Gan, Wei Wu, Wanli Ouyang. [Paper][Code]
    

  • AiATrack--AiATrack: Attention in Attention for Transformer Visual Tracking. ECCV, 2022.
    Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan. [Paper][Code]
    

  • SwinTrack--SwinTrack: A Simple and Strong Baseline for Transformer Tracking. Arxiv, 2022.
    Liting Lin, Heng Fan, Yong Xu, Haibin Ling. [Paper][Code]
    

  • E.T.Track--Efficient Visual Tracking with Exemplar Transformers. Arxiv, 2022.
    Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool. [Paper][Code]
    

  • CSWinTT--Transformer Tracking with Cyclic Shifting Window Attention. CVPR 2022.
    Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang. [Paper][Code]
    

  • ToMP--Transforming Model Prediction for Tracking. CVPR, 2022.
    Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool. [Paper][Code]
    

  • UTT--Unified Transformer Tracker for Object Tracking. CVPR, 2022.
    Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan. [Paper][Code]
    

  • MixFormer--MixFormer: End-to-End Tracking with Iterative Mixed Attention. CVPR, 2022.
    Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu. [Paper][Code]
    

  • SBT--Correlation-Aware Deep Tracking. CVPR, 2022.
    Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng. [Paper][Code]
    

  • Stark--Learning Spatio-Temporal Transformer for Visual Tracking. ICCV, 2021.
    Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu. [Paper][Code]
    

  • TrDimp--Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking. CVPR, 2021.
    Ning Wang, Wengang Zhou, Jie Wang, Houqiang Li. [Paper][Code]
    

  • TransT_H--Efficient Visual Tracking via Hierarchical Cross-Attention Transformer. Arxiv, 2022. Xin Chen, Dong Wang, Dongdong Li, Huchuan Lu. [Paper][Code]
    

  • TransT-M--High-Performance Transformer Tracking. Arxiv, 2022.
    Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Huchuan Lu. [Paper][Code]
    

  • TransT--Transformer Tracking. CVPR, 2021.
    Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun yang, Huchuan Lu. [Paper][Code]
    

Tracking Algorithms before 2022

• LaSOT:star2:

  Tracker	Success Score	Speed (fps)	Paper/Code
  STARK (ICCV21)	0.671	32 (Tesla V100)	Paper/Code
  KeepTrack (ICCV21)	0.671	18 (RTX 2080Ti)	Paper/Code
  ARDiMPsuper (CVPR21)	0.653	33 (RTX 2080Ti)	Paper/Code
  TransT (CVPR21)	0.649	50 (RTX 2080Ti)	Paper/Code
  Siam R-CNN (CVPR20)	0.648	5 (Tesla V100)	Paper/Code
  TrDimp (CVPR21)	0.639	26 (GTX 1080Ti)	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 (ECCV20)	0.560	25 (Tesla V100)	Paper/Code
  GlobalTrack (AAAI20)	0.521	6 (GTX TitanX)	Paper/Code
  SPLT (ICCV19)	0.426	26 (GTX 1080Ti)	Paper/Code
  MDNet (CVPR16)	0.397	5 (GTX 1080Ti)	Paper/Code

  • Baseline(short-term): SiamRPN++, Ocean, DiMP, PrDiMP, Siam R-CNN, MDNet
  • Baseline(long-term): SPLT, GlobalTrack, LTMU, Siam R-CNN
  • MDNet is the best tracker in the original LaSOT paper.
  • paperswithcode-SOTA: https://paperswithcode.com/sota/visual-object-tracking-on-lasot

• TrackingNet:star2:

  Tracker	Success Score	Norm Precision Score	Speed (fps)	Paper/Code
  STARK (ICCV21)	0.820	0.869	32 (Tesla V100)	Paper/Code
  TransT (CVPR21)	0.814	0.867	50 (RTX 2080Ti)	Paper/Code
  Siam R-CNN (CVPR20)	0.812	0.854	5 (Tesla V100)	Paper/Code
  ARDiMPsuper (CVPR21)	0.805	0.856	33 (RTX 2080Ti)	Paper/Code
  TrDimp (CVPR21)	0.784	0.833	26 (GTX 1080Ti)	Paper/Code
  PrDiMP50 (CVPR20)	0.758	0.816	30 (Unkown GPU)	Paper/Code
  DiMP50 (ICCV19)	0.740	0.801	43 (GTX 1080)	Paper/Code
  SiamRPN++ (CVPR19)	0.733	0.800	35 (Titan XP)	Paper/Code

  • TrackingNet Leaderboard：http://eval.tracking-net.org/web/challenges/challenge-page/39/leaderboard
  • Baseline: SiamRPN++, Ocean, DiMP, PrDiMP, Siam R-CNN

• GOT-10k:star2:

  Tracker	Success Score (AO)	Speed (fps)	Paper/Code
  STARK (ICCV11)	0.688	32 (Tesla V100)	Paper/Code
  TransT (CVPR21)	0.671	50 (RTX 2080Ti)	Paper/Code
  TrDimp (CVPR21)	0.671	26 (GTX 1080Ti)	Paper/Code
  Siam R-CNN (CVPR20)	0.649	5 (Tesla V100)	Paper/Code
  PrDiMP50 (CVPR20)	0.634	30 (Unkown GPU)	Paper/Code
  RPT (ECCVW20)	0.624	20 (GTX 1080Ti)	Paper/Code
  Ocean (ECCV20)	0.611	25 (Tesla V100)	Paper/Code
  DiMP50 (ICCV19)	0.611	43 (GTX 1080)	Paper/Code

  • GOT-10k leaderboard: http://got-10k.aitestunion.com/leaderboard
  • Baseline: SiamRPN++, Ocean, DiMP, PrDiMP, Siam R-CNN

• NOTU:star2:

  Tracker	NOTU	NFS	OTB100	TC128	UAV123	Speed (fps)	Paper/Code
  KeepTrack (ICCV21)	--	0.664	0.709	--	0.697	18 (RTX 2080Ti)	Paper/Code
  STARK (ICCV21)	0.661	0.662	0.681	0.631	0.682	32 (Tesla V100)	Paper/Code
  TransT (CVPR21)	0.650	0.653	0.695	0.596	0.681	50 (RTX 2080Ti)	Paper/Code
  DiMP50 (ICCV19)	0.634	0.618	0.684	0.612	0.643	43 (GTX 1080)	Paper/Code
  SiamRPN++ (CVPR19)	0.598	0.571	0.687	0.577	0.593	35 (Titan XP)	Paper/Code

  • Baseline(short-term): SiamRPN++, DiMP
  • Success Score is reported
  • What is NOTU? In recent years, an obvious trend of over-fitting has been observed on some small-scale tracking benchmarks like OTB. Performance on these datasets may not accurately reflect the tracking ability of various trackers. To address this issue, we collect a new large-scale tracking benchmark called NOTU, which contains all 401 sequences from NFS, OTB100, TC128, and UAV123. The evaluation metric include 'Success' and 'Precision'. The NOTU test will introduce a large-scale evaluation.
  • Why use NOTU?

• VOT Challenge🌟

  • VOT 2021

  • VOT 2020

  • VOT Challenge: https://www.votchallenge.net/challenges.html

High-Performance Visual Tracking Algorithms (DUT-IIAU LAB)：

All Short-Term Tracking Datasets:

• List:

  Datasets	#videos	#total (All)	#total/min/max/average frames (Test Set)	Project/Paper
  LaSOT	1,400 (I-all-1,400/II-test-280)	3.52M	xxxx/xxxx/xxxx/xxxx	[Project][Paper]
  LaSOT2021	1,550 (I-all-1,400/II-test-280/III-oneshot-150)	3.87M	xxxx/xxxx/xxxx/xxxx	[Project][Paper]
  TrackingNet	train-30132, test-511		xxxx/xxxx/xxxx/xxxx
  GOT-10k	train-10k, val-180, test-180	1.5M	xxxx/xxxx/xxxx/xxxx
  NOTU	401 (from NFS, OTB100, TC128, UAV123)			xxxx/xxxx/xxxx/xxxx
  NFS	100	383K	383K/169/20,665/3,830	[Project][Paper]
  OTB100	100	59K	59K/71/3,872/590	[Project][Paper]
  TC128	128	55K	55K/71/3,872/429	[Project][Paper]
  UAV123	123	113K	113K/109/3,085/915	[Project][Paper]
  VOT	60 in Recent Years https://www.votchallenge.net/challenges.html	VOT2013-	-VOT2021	VOT Challenge
  Others:
  ALOV300++	315	8.9K	8.9K/XXXX/XXXX/284	xx
  NUS-PRO	365	135K	135K/146/5,040/371	xx

  • Common Large-scale Experiment Setting: 1,432 = 280 (LaSOT) + 511 (TrackingNet) + 180 (GOT-10k) + 401 (NOTU) + (60) Latest VOT

• RGBT:

  Datasets	#videos	#total (All)	#total/min/max/average frames (Test Set)	Project/Paper
  RGBT234	xxxx	xxxx	xxxx/xxxx/xxxx/xxxx
  RGBT210	xxxx	xxxx	xxxx/xxxx/xxxx/xxxx
  GTOT	xxxx	xxxx	xxxx/xxxx/xxxx/xxxx

• VLT (Vision-Lanuage-Tracking):

  Datasets	#videos	#total (All)	#total/min/max/average frames (Test Set)	Project/Paper
  TNL2K	xxxx	xxxx	xxxx/xxxx/xxxx/xxxx	[Project][Paper]
  LaSOT	1,400 (I-all-1,400/II-test-280)	3.52M	xxxx/xxxx/xxxx/xxxx	[Project][Paper]
  OTB-LANG	xxxx	xxxx	xxxx/xxxx/xxxx/xxxx	[Project][Paper]

• RGBD:

  Datasets	#videos	#total (All)	#total/min/max/average frames (Test Set)	Project/Paper
  DepthTrack	xxxx	xxxx	xxxx/xxxx/xxxx/xxxx	[Project][Paper]
  CDTB	xxxx	xxxx	xxxx/xxxx/xxxx/xxxx
  STC	xxxx	xxxx	xxxx/xxxx/xxxx/xxxx
  PTB	xxxx	xxxx	xxxx/xxxx/xxxx/xxxx

• Other Interesting Datasets:

  • First Person Vision Tracking (TREK-150): Is First Person Vision Challenging for Object Tracking?. ICCV, 2021. Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, Christian Micheloni. [Paper][Project][Code]

  • Transparent Object Tracking Benchmark (TOTB): Transparent Object Tracking Benchmark. ICCV, 2021. Heng Fan, Halady Akhilesha Miththanthaya, Harshit, Siranjiv Ramana Rajan, Xiaoqiong Liu, Zhilin Zou, Yuewei Lin, Haibin Ling. [Paper][Project]

  • Planar Object Tracking in the Wild: A Benchmark (POT-210): Planar Object Tracking in the Wild: A Benchmark. ICRA, 2018. Pengpeng Liang, Yifan Wu, Hu Lu, Liming Wang, Chunyuan Liao, Haibin Ling. [Paper][Project]

Resources

• Codebase & Comparision:

  • mmtracking[open-mmlab]: https://github.com/open-mmlab/mmtracking.git

  • TracKit[Microsoft]：https://github.com/researchmm/TracKit

  • pytracking[visionml]：https://github.com/visionml/pytracking

  • pysot[STVIR]：https://github.com/STVIR/pysot

  • paperwithcode[VOT]: https://paperswithcode.com/task/visual-object-tracking

  • pysot-toolkit：https://github.com/StrangerZhang/pysot-toolkit

  • SOT-MOT-Comparision：https://github.com/JudasDie/Comparision

  • SiamTrackers：https://github.com/HonglinChu/SiamTrackers

  • CFTrackers：https://github.com/HonglinChu/CFTrackers

  • Benchmark-Results：https://github.com/foolwood/benchmark_results

  • Single-Object-Tracking-Paper-List：https://github.com/wangxiao5791509/Single_Object_Tracking_Paper_List

• Result Collection & Evaluation Tools:

Conference Paper

• 2022:

• 2021:

  • Learning Spatio-Temporal Transformer for Visual Tracking. ICCV, 2021.
    Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu. [Paper][Code]
    

  • Learning Target Candidate Association to Keep Track of What Not to Track. ICCV, 2021.
    Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool. [Paper][Code]
    

  • Learn to Match: Automatic Matching Network Design for Visual Tracking. ICCV, 2021.
    Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, Weiming Hu. [Paper][Code]

  • Saliency-Associated Object Tracking. ICCV, 2021.
    Zikun Zhou, Wenjie Pei, Xin Li, Hongpeng Wang, Feng Zheng, Zhenyu He. [Paper][Code]

  • Video Annotation for Visual Tracking via Selection and Refinement. ICCV, 2021.
    Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang. [Paper][Code]

  • Learning to Track Objects from Unlabeled Videos. ICCV, 2021.
    Jilai Zheng, Chao Ma, Houwen Peng, Xiaokang Yang. [Paper][Code]

  • Learning to Adversarially Blur Visual Object Tracking. ICCV, 2021.
    Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao. [Paper][Code]

  • HiFT: Hierarchical Feature Transformer for Aerial Tracking. ICCV, 2021.
    Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li. [Paper][Code]

  • Transparent Object Tracking Benchmark. ICCV, 2021.
    Heng Fan, Halady Akhilesha Miththanthaya, Harshit, Siranjiv Ramana Rajan, Xiaoqiong Liu, Zhilin Zou, Yuewei Lin, Haibin Ling. [Paper][Project]

  • Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds. ICCV, 2021.
    Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Wei Zhang, Zhen Li, Shuguang Cui. [Paper][Code]

  • Object Tracking by Jointly Exploiting Frame and Event Domain. ICCV, 2021.
    Jiqing Zhang, Xin Yang, Yingkai Fu, Xiaopeng Wei, Baocai Yin, Bo Dong. [Paper][Project]

  • DepthTrack : Unveiling the Power of RGBD Tracking. ICCV, 2021.
    Song Yan, Jinyu Yang, Jani Käpylä, Feng Zheng, Aleš Leonardis, Joni-Kristian Kämäräinen. [Paper][Code]

  • Transformer Tracking. CVPR, 2021.
    Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun yang, Huchuan Lu. [Paper][Code]

  • Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation. CVPR, 2021.
    Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang. [Paper][Code]

  • LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search. CVPR, 2021.
    Bin Yan, Houwen Peng, Kan Wu, Dong Wang, Jianlong Fu, Huchuan Lu. [Paper][Code]

  • Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking. CVPR, 2021.
    Ning Wang, Wengang Zhou, Jie Wang, Houqiang Li. [Paper][Code]

  • Graph Attention Tracking. CVPR, 2021.
    Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen. [Paper][Code]

  • Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark. CVPR, 2021.
    Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu. [Paper][Project]

  • Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers. CVPR, 2021.
    Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff. [Paper][Code]

  • Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy. CVPR, 2021.
    Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang. [Paper][Project]

  • Learning to Filter: Siamese Relation Network for Robust Tracking. CVPR, 2021.
    Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang. [Paper][Code]

  • STMTrack: Template-free Visual Tracking with Space-time Memory Networks. CVPR, 2021.
    Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang. [Paper][Code]

  • IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking. CVPR, 2021.
    Shuai Jia, Yibing Song, Chao Ma, Xiaokang Yang. [Paper][Code]

  • Rotation Equivariant Siamese Networks for Tracking. CVPR, 2021.
    Deepak K. Gupta, Devanshu Arya, Efstratios Gavves. [Paper][Code]

  • Progressive Unsupervised Learning for Visual Object Tracking. CVPR, 2021.
    Qiangqiang Wu, Jia Wan, Antoni B. Chan. [Paper][Code]

  • MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking. CVPR, 2021.
    Jennifer Jang, Heinrich Jiang. [Paper][Code]

  • CapsuleRRT: Relationships-Aware Regression Tracking via Capsules. CVPR, 2021.
    Ding Ma, Xiangqian Wu. [Paper][Code]

• 2020:

  • 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]

• 2019:

  • 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]

• 2018:

  • 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]

• 2017:

  • 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]

• 2016:

  • 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.

• 2015:

  • 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]

• 2014:

  • 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.

• 2013:

  • 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.

• Before 2013:

Survey, Book and Highly-cited Journal Paper

• Survey & Book:

  • Single Object Tracking Research: A Survey. Chinese Journal of Computers, 2022.
    Ruize Han, Wei Feng, Qing Guo, Qinghua Hu. [Paper]

  • Deep Learning for Visual Tracking: A Comprehensive Survey. IEEE TITS, 2021.
    Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei. [Paper]

  • Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends. ACM CS, 2019.
    Mustansar Fiaz, Arif Mahmood, Sajid Javed, Soon Ki Jung. [Paper]

  • Online Visual Tracking. Springer, 2019.
    Huchuan Lu, Dong Wang. [Book]

  • Deep Visual Tracking: Review and Experimental Comparison. PR, 2018.
    Peixia Li, Dong Wang, Lijun Wang, Huchuan Lu. [Paper]

  • Visual Tracking: An Experimental Survey. IEEE TPAMI, 2014.
    Arnold W. M. Smeulders, Dung Manh Chu, Rita Cucchiara, Simone Calderara, Afshin Dehghan, Mubarak Shah. [Paper]

  • 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. [Paper]

  • Object Tracking: A Survey. ACM CS, 2006.
    Alper Yilmaz, Omar Javed, Mubarak Shah. [Paper]

• Highly-cited Journal Paper:

Online Reports

• Chinese:
  • 基于计算机视觉的目标跟踪算法概览(早期算法): https://www.bilibili.com/video/BV1ex411m7Ty
  • 从零开始的单目标跟踪算法世界(pytracking为主)：https://www.bilibili.com/video/BV1WK4y1C7JG