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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

  • 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

  • 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

  • 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🌟

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:

Resources

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