VOT2018 Trackers repository

This is an incomplete collection of trackers submitted to VOT2018. The collection contains only those submissions to VOT2018 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

• Adaptive object update for tracking (UpdateNet) - Appendix A.1

• [ANT (ANT)] - Appendix A.3

• Bag-of-Visual-Words based Correlation Filter Tracker (BoVW_CFT) - Appendix A.4

• Best Displacement Flow (BDF) - Appendix A.5

• Best Structured Tracker (BST) - Appendix A.6

• Channel pruning for visual tracking (CPT) - Appendix A.7

• Channel pruning for visual tracking (CPT_fast) - Appendix A.8

• Combined Point Tracker (CPOINT) - Appendix A.10

• [Continuous Convolution Operator Tracker (CCOT)] - Appendix A.11

• Continuous Convolution Operators with Resnet features (RCO) - Appendix A.12

• Convolutional Features for Correlation Filters (CFCF) - Appendix A.13

• Correlation Filter with Regressive Scale Estimation (RSECF) - Appendix A.14

• Correlation Filter with Temporal Regression (CFTR) - Appendix A.15

• Correlation Tracking via Joint Discrimination and Reliability Learning (DRT) - Appendix A.16

• DCFNET: Discriminant Correlation Filters Network for Visual Tracking (DCFNet) - Appendix A.18

• Deep Enhanced Spatially Regularized Discriminative Correlation Filter (DE-SRDCF) (srdcf_deep) - Appendix A.19

• DeepSTRCF (DeepSTRCF1) - Appendix A.20

• [Deformable part correlation filter tracker (DPT)] - Appendix A.21

• Dense Contrastive Features for Correlation Filters (DCFCF) - Appendix A.22

• Densely connected Siamese architecture for robust visual tracking (DensSiam) - Appendix A.23

• [Discriminative Correlation Filter with Channel and Spatial Reliability (CSRDCF)] - Appendix A.24

• Discriminative Correlation Filter with Channel and Spatial Reliability - C++ (csrtpp) - Appendix A.25

• [Discriminative Scale Space Tracker (DSST)] - Appendix A.26

• Distractor-aware Tracking (DAT) - Appendix A.27

• DLSTpp: Deep Location-Sepcific Tracking++ (DLSTpp) - Appendix A.28

• Dynamic Fusion of Part Regressors for Correlation Filter-based Visual Tracking (DFPReco) - Appendix A.29

• Dynamic Siamese Network based Tracking (DSiam) - Appendix A.30

• [ECO (ECO)] - Appendix A.31

• Enhanced Spatially Regularized Discriminative Correlation Filter (srdcf_dif) - Appendix A.32

• Flock of Trackers (FoT) - Appendix A.33

• Fully-Convolutional Siamese Network (SiamFC) - Appendix A.34

• High Performance Visual Tracking with Siamese Region Proposal Network (SiamRPN) - Appendix A.35

• [Incremental Learning for Robust Visual Tracking (IVT)] - Appendix A.36

• Kalman Filter ensemble-based Tracker (KFebT) - Appendix A.37

• [Kernelized Correlation Filter (KCF)] - Appendix A.38

• Learning Adaptive Discriminative Correlation Filter on Low-dimensional Manifold (LADCF) - Appendix A.39

• Learning Spatial-Aware Regressions for Visual Tracking (LSART) - Appendix A.40

• Lightweight Deep Neural Network for Visual Tracking (LWDNTm) - Appendix A.41

• Lightweight Deep Neural Network for Visual Tracking (LWDNTthi) - Appendix A.42

• [Local-Global Tracking tracker (LGT)] - Appendix A.43

• Matrioska Best Displacement Flow (Matflow) - Appendix A.46

• [MEEM (MEEM)] - Appendix A.47

• MobileNet combined with SiameseFC (MBSiam) - Appendix A.48

• Multi Rotate and Scale Normalized Cross Correlation tracker (MRSNCC) - Appendix A.49

• Multi-Cue Correlation Tracker (MCCT) - Appendix A.50

• Multi-solution Fusion for Visual Tracking (MFT) - Appendix A.51

• [Multiple Instance Learning tracker (MIL)] - Appendix A.52

• Online Adaptive Hidden Markov Model for Multi-Tracker Fusion (HMMTxD) - Appendix A.53

• Part-based tracking by sampling (PBTS) - Appendix A.54

• [Robust Fragments based Tracking using the Integral Histogram - FragTrack (FT)] - Appendix A.55

• Robust Multi-task Correlation Particle Filter (R_MCPF) - Appendix A.56

• ROI-Align Network (RAnet) - Appendix A.57

• Salient Region weighted Correlation filter Tracker (SRCT) - Appendix A.58

• SA_Siam_P - An Advanced Twofold Siamese Network for Real-Time Object Tracking (SA_Siam_P) - Appendix A.59

• SA_Siam_R: A Twofold Siamese Network for Real-Time Object Tracking With Angle Estimation (SA_Siam_R) - Appendix A.60

• [Scale Adaptive Mean-Shift Tracker (ASMS)] - Appendix A.61

• Scale Adaptive Point-based Kanade Lukas Tomasi colour-Filter (SAPKLTF) - Appendix A.62

• SiamVGG (SiamVGG) - Appendix A.63

• [Spatially Regularized Discriminative Correlation Filter Tracker (SRDCF)] - Appendix A.64

• Spatio-Temporal Background-Aware Correlation Filter for Visual Tracking (STBACF) - Appendix A.65

• Staple: Sum of Template And Pixel-wise LEarners (Staple) - Appendix A.67

• [Struck: Structured output tracking with kernels (struck2011)] - Appendix A.68

• TRAcker based on Context-aware deep feature compression with multiple Auto-encoders (TRACA) - Appendix A.69

• Tracking by Feature Select Adversary Network (FSAN) - Appendix A.70

• Unveiling the Power of Deep Tracking (UPDT) - Appendix A.71

• 3D Convolutional Networks for Visual Tracking (C3DT) - Appendix A.72

Long Term (LT) Trackers

• A Memory Model based on the Siamese Network for Long-term Tracking (MMLT) (MMLT) - Appendix B.1

• DaSiameseRPN_long-term (DaSiam_LT) - Appendix B.2

• [Flock of Trackers (FoT)] - Appendix B.3

• Fully-Convolutional Siamese Detector (SiamFCDet) - Appendix B.4

• Fully-Convolutional Siamese Network (SiamFC) - Appendix B.5

• [Fully Correlational Long-Term Tracker (FuCoLoT)] - Appendix B.6

• Long-Term Siamese Instance Search Tracking (LTSINT) - Appendix B.7

• MobileNet based tracking by detection algorithm (MBMD) - Appendix B.8

• [Online Adaptive Hidden Markov Model for Multi-Tracker Fusion (HMMTxD)] - Appendix B.9

• Parallel Tracking and Verifying Plus (PTAVplus) (PTAVplus) - Appendix B.10

• [Scale Adaptive Mean-Shift Tracker (ASMS)] - Appendix B.11

• Scale Adaptive Point-based Kanade Lukas Tomasi colour-Filter (SAPKLTF) - Appendix B.12

• Search your object with siamese network (SYT) - Appendix B.13

• Siamese Long-term Tracker (SLT) - Appendix B.14

• SiamVGG (SiamVGG) - Appendix B.15