VOT2019 Trackers repository

This page will contain source code of the trackers that participated in VOT2019 Challenge. This is an incomplete collection of trackers submitted to VOT2019. The collection contains only those submissions to VOT2019 for which we were able to obtain explicit permission from the authors (this was indicated by the authors during results submission process). In most cases the code is provided as it was submitted, in other cases some authors asked us to point the link to their own repositories. The VOT does not take any responsibility for the state of code/binaries of the trackers available here. For any additional information regarding individual trackers, please contact the corresponding authors directly.

Each tracker is referred as NAME (Appendix Nr NN), where NAME is the name given to the tracker and NN is the tracker number referred on the VOT paper.

If you have any question or suggestion, please contact us on the support forum.

Short Term (ST) Trackers

  • Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator (A3CTD) - Source available upon request - Appendix A.1

  • Adaptive Correction Network based tracker (ACNT) - Source available upon request - Appendix A.2

  • Adversarial Learning for Tracking Objects (ALTO) - Source available upon request - Appendix A.3

  • [ANT (ANT)] - Appendix A.4

  • Accurate and Robust Tracking based on Correlation filter and SiamRPN (ARTCS) - Source available upon request - Appendix A.5

  • [Scale Adaptive Mean-Shift Tracker (ASMS)] - Appendix A.6

  • ATOM: Accurate Tracking by Overlap Maximization (ATOM) - Source available upon request - Appendix A.7

  • ATP: Accurate Tracking by Progressively refining (ATP) - Source available upon request - Appendix A.8

  • Channel Independent Spatially Regularized Discriminative Correlation Filter Tracker (CISRDCF) - Source available upon request - Appendix A.9

  • [Online Update Tracking Model for Discriminant Feature Learning (Cola)] - Appendix A.10

  • [Discriminative Correlation Filter with Channel and Spatial Reliability (CSRDCF)] - Appendix A.11

  • Discriminative Correlation Filter with Channel and Spatial Reliability C++ (CSRpp) - Source available upon request - Appendix A.12

  • Learning Features with Differentiable Closed-Form Solvers for Tracking (DCFST) - Source available upon request - Appendix A.13

  • Learning Discriminative Model Prediction for Tracking (DiMP) - Source available upon request - Appendix A.14

  • [Deformable part correlation filter tracker (DPT)] - Appendix A.15

  • High Accuracy Visual Tracking with Deep Regression Networks (DRNet) - Source available upon request - Appendix A.16

  • [Flock of Trackers (FoT)] - Appendix A.17

  • Fast Saliency-guided Continuous Correlation Filter-based tracker (FSC2F) - Source available upon request - Appendix A.18

  • SiamRPN with adaptive anchors and proposals (gasiamrpn) - Source available upon request - Appendix A.19

  • [Online Adaptive Hidden Markov Model for Multi-Tracker Fusion (HMMTxD)] - Appendix A.20

  • SiamRPN with giou loss (iourpn) - Source available upon request - Appendix A.21

  • [Incremental Learning for Robust Visual Tracking (IVT)] - Appendix A.22

  • [Kernelized Correlation Filter (KCF)] - Appendix A.23

  • [L1APG (L1-APG)] - Appendix A.24

  • [Local-Global Tracking tracker (LGT)] - Appendix A.25

  • Learning Spatially Regularized correlation filters with Deep Features for Tracking (LSRDFT) - Source available upon request - Appendix A.26

  • Multi-Model Continuous Correlation Filter for visual tracking (M2C2F) - Source available upon request - Appendix A.27

  • MemTrack with Distractor Template Canceling (MemDTC) - Source available upon request - Appendix A.28

  • [Multiple Instance Learning tracker (MIL)] - Appendix A.29

  • More precise box and accurate object tracking (MPAT) - Source available upon request - Appendix A.30

  • Part-Based Tracking by Sampling (PBTS) - Source available upon request - Appendix A.31

  • Ranking based tracking using CNNs and optical flow (RankingR) - Source available upon request - Appendix A.32

  • Ranking based tracker using CNNs (RankingT) - Source available upon request - Appendix A.33

  • ROAM++: Tracking via Resizable Response Generator and Bounding Box Regressor (ROAMpp) - Source available upon request - Appendix A.34

  • [Robust Siamese Fully Convolutional Tracker (RSiamFC)] - Appendix A.35

  • SA-SIAM-R: A Twofold Siamese Network for Real-Time Object Tracking With Angle Estimation (SA-SIAM-R) - Source available upon request - Appendix A.36

  • [Cascade Siamese Conditional Random Fields Tracker (SiamCRF)] - Appendix A.37

  • [Fast Siamese Conditional Random Field Tracker (SiamCRF-RT)] - Appendix A.38

  • Online Deeper and Wider Siamese Networks for Real-Time Visual Tracking (SiamDW-ST) - Source available upon request - Appendix A.39

  • Siamese Fully Convolutional One-Stage Network for Short-Term Tracking (Siamfcos) - Source available upon request - Appendix A.40

  • Fully Convolutional One-Stage Siamese Network (SiamFCOSP) - Source available upon request - Appendix A.41

  • Siamese Fully Convolutional Object Tracking (SiamFCOT) - Source available upon request - Appendix A.42

  • Discriminative Siamese Embedding for Object Tracking (SiamMargin) - Source available upon request - Appendix A.43

  • SiamMask (SiamMask) - Source available upon request - Appendix A.44

  • Fitting Siamese Mask with Ellipses for Object Tracking (SiamMsST) - Source available upon request - Appendix A.45

  • SiamRPN++ (SiamRPNpp) - Source available upon request - Appendix A.46

  • [SiamRPNX (SiamRPNX)] - Appendix A.47

  • SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking (SPM) - Source available upon request - Appendix A.48

  • Selective Spatial Regularization for Correlation Filter based Tracking (SSRCCOT) - Source available upon request - Appendix A.49

  • [Struck_ Structured output tracking with kernels (struck2011)] - Appendix A.50

  • Semantic Tracking Network_ Tracking the Known and the Unknown by Leveraging Semantic Information (STN) - Source available upon request - Appendix A.51

  • Target-Aware Deep Tracking (TADT) - Source available upon request - Appendix A.52

  • [Temporal confidence learning based correlation filter tracker (TCLCF)] - Appendix A.53

  • Tracking and Detection: A Unified Approach (TDE) - Source available upon request - Appendix A.54

  • Dynamic optimization tracking algorithm based on ATOM combined with static pictures (Trackyou) - Source available upon request - Appendix A.55

  • UInet( Single Object tracking based on Unet and IouNet (Uinet) - Appendix A.56

  • [Weighted samples based CF tracker (WSCF-ST)] - Appendix A.57

Long Term (LT) Trackers

  • Assisted Siamese Instance Search Tracking (ASINT) - Source available upon request - Appendix B.1

  • Complementary Local-Global Search for Robust Long-term Tracking (CLGS) - Source available upon request - Appendix B.2

  • Synergistic CooSiam Framework based on Comprehensive Template’s Feature and Detection (CooSiam) - Source available upon request - Appendix B.3

  • Fully Correlational Long-Term Tracker (Fu-CoLoT) - Appendix B.4

  • long-term tracking by diving videos into successive short episodes (LT-DSE) - Source available upon request - Appendix B.5

  • mbdet (mbdet) - Source available upon request - Appendix B.6

  • Online Deeper and Wider Siamese Networks for Long-Term Visual Tracking (SiamDW-LT) - Source available upon request - Appendix B.7

  • Siamese Fully Convolutional One-Stage Network for Long-Term Tracking (Siamfcos-LT) - Source available upon request - Appendix B.8

  • Optimize SiamRPN with Random Search for Long-Term Tracking (SiamRPNsLT) - Source available upon request - Appendix B.9

RGB-TIR Trackers

  • Channel Independent Spatially Regularized Discriminative Correlation Filter Tracker (CISRDCF) - Source available upon request - Appendix C.1

  • [Fusion SiamRPN Tracker with Spatial Attention Fusion Strategy (FSRPN)] - Appendix C.2

  • Gradient of Entropy Sensor based Background Trackable Tracker (GESBTT) - Source available upon request - Appendix C.3

  • Joint Modeling Motion and Appearance Cues for Robust RGB-T Tracking (JMMAC) - Source available upon request - Appendix C.4

  • [Multi-Adapter Convolutional Networks for RGBT Tracking (MANet)] - Appendix C.5

  • [Multi-modal fusion for end-to-end RGB-T tracking (mfDiMP)] - Appendix C.6

  • More precise box and accurate object tracking (MPAT) - Source available upon request - Appendix C.7

  • Online Deeper and Wider Siamese Networks for RGBT Visual Tracking (SiamDW-T) - Source available upon request - Appendix C.8

RGB-D Trackers

  • Accurate Tracking by Category-Agnostic Instance Segmentation for RGBD Image (ATCAIS) - Source available upon request - Appendix D.1

  • long-term tracking using depth information by diving videos into successive short episodes (LTDSEd) - Source available upon request - Appendix D.2

  • Online Deeper and Wider Siamese Networks for RGBD Visual Tracking (SiamDW-D) - Source available upon request - Appendix D.3

  • Enhance SiamMask Tracker Using RGBD Images (SiamM_Ds) - Source available upon request - Appendix D.4