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) - Source available upon request - Appendix Nr 2

  • Constrained Graph Seeking based Tracker (CGS) - Source available upon request - Appendix Nr 3

  • Multi-Cue Correlation Tracker (MCCT) - Source available upon request - Appendix Nr 4

  • Long Term FeatureLess Object tracker (LTFLO) - Source available upon request - Appendix Nr 5

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

  • Flock of Trackers (FoT) - Source available upon request - Appendix Nr 7

  • Kernelized Correlation Filter (KCF) - Appendix Nr 8

  • Guided MDNet-N (GMDNetN) - Source available upon request - Appendix Nr 9

  • Convolutional Features for Correlation Filters (CFCF) - Source available upon request - Appendix Nr 10

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

  • KFebT - Source available upon request - Appendix Nr 12

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

  • CFWCR - Source available upon request - Appendix Nr 14

  • Deep Location-Specific Tracking (DLST) - Source available upon request - Appendix Nr 15

  • gNetTracker (gnet) - Source available upon request - Appendix Nr 16

  • Best Structured Tracker (BST) - Source available upon request - Appendix Nr 17

  • Multi-task Correlation Particle Filter (MCPF) - Source available upon request - Appendix Nr 18

  • UCT - Source available upon request - Appendix Nr 19

  • Staple - Source available upon request - Appendix Nr 20

  • Fully-Convolutional Siamese Network (SiamFC) - Source available upon request - Appendix Nr 21

  • Learning Spatial-Aware Regressions for Visual Tracking (LSART) - Source available upon request - Appendix Nr 24

  • SumShift Tracker with Kernelized Correlation Filter (SSKCF) - Source available upon request - Appendix Nr 25

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

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

  • GOTURN MDNet Tracker (GMD) - Source available upon request - Appendix Nr 29

  • Efficient Convolution Operator Tracker (ECO) - Source available upon request - Appendix Nr 30

  • Efficient Convolution Operator Tracker - Hand Crafted (ECOhc) - Source available upon request - Appendix Nr 31

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

  • Robust Correlation Particle Filter (RCPF) - Source available upon request - Appendix Nr 34

  • MOSSE_CA - Source available upon request - 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