VOT2017 Trackers repository

This is an incomplete collection of trackers submitted to VOT2017. The collection contains only those submissions to VOT2017 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.

Trackers

• Anchored Tracking (ANT) - Appendix Nr 1

• Convolutional regression for visual tracking (CRT) - Appendix Nr 2

• Constrained Graph Seeking based Tracker (CGS) - Appendix Nr 3

• Multi-Cue Correlation Tracker (MCCT) - Appendix Nr 4

• Long Term FeatureLess Object tracker (LTFLO) - Appendix Nr 5

• Scale Adaptive Mean-Shift Tracker (ASMS) - Appendix Nr 6

• Flock of Trackers (FoT) - Appendix Nr 7

• Kernelized Correlation Filter (KCF) - Appendix Nr 8

• Guided MDNet-N (GMDNetN) - Appendix Nr 9

• Convolutional Features for Correlation Filters (CFCF) - Appendix Nr 10

• Online Adaptive Hidden Markov Model for Multi-Tracker Fusion (HMMTxD) - Appendix Nr 11

• KFebT - Appendix Nr 12

• Scale Adaptive Point-based Kanade Lukas Tomasi colour-Filter (SAPKLTF) - Appendix Nr 13

• CFWCR - Appendix Nr 14

• Deep Location-Specific Tracking (DLST) - Appendix Nr 15

• gNetTracker (gnet) - Appendix Nr 16

• Best Structured Tracker (BST) - Appendix Nr 17

• Multi-task Correlation Particle Filter (MCPF) - Appendix Nr 18

• UCT - Appendix Nr 19

• Staple - Appendix Nr 20

• Fully-Convolutional Siamese Network (SiamFC) - Appendix Nr 21

• Learning Spatial-Aware Regressions for Visual Tracking (LSART) - Appendix Nr 24

• SumShift Tracker with Kernelized Correlation Filter (SSKCF) - Appendix Nr 25

• Adaptive single object Tracking using offline Learned motion And visual Similar patterns (ATLAS) - Appendix Nr 26

• Correlation-based Visual Tracking via Dynamic Part Regressors Fusion (DPRF) - Appendix Nr 27

• GOTURN MDNet Tracker (GMD) - Appendix Nr 29

• Efficient Convolution Operator Tracker (ECO) - Appendix Nr 30

• Efficient Convolution Operator Tracker - Hand Crafted (ECOhc) - Appendix Nr 31

• Large Displacement Estimation of Similarity transformation on Visual Object Tracking (LDES) - Appendix Nr 32

• Robust Correlation Particle Filter (RCPF) - Appendix Nr 34

• MOSSE_CA - Appendix Nr 35

• Continuous Convolution Operator Tracker (C-COT) - Appendix Nr 36

• Consensus Based Matching and Tracking (CMT) - Appendix Nr 37

• Discriminative Correlation Filter with Channel and Spatial Reliability (CSRDCF) - Appendix Nr 38

• Discriminative Correlation Filter with Channel and Spatial Reliability - fast (CSRDCFf) - Appendix Nr 39

• Discriminative Scale Space Tracker (DSST) - Appendix Nr 42

• Incremental Learning for Robust Visual Tracking (IVT) - Appendix Nr 44

• L1APG - Appendix Nr 45

• Local-Global Tracking tracker (LGT) - Appendix Nr 46

• MEEM - Appendix Nr 47

• Multiple Instance Learning tracker (MIL) - Appendix Nr 48

• Spatially Regularized Discriminative Correlation Filter Tracker (SRDCF) - Appendix Nr 50

• STRUCK (Struck2011) - Appendix Nr 51