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Visual Object Tracking (VOT) challenge evaluation toolkit

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The VOT evaluation kit

This repository contains the official evaluation kit for the Visual Object Tracking (VOT) challenge. The repository contains the actual evaluation toolkit as a set of Matlab (Octave compatible) scripts, a documentation and a set of integration examples for different programming languages that.

For more detailed informations consult the documentation available in the source or a compiled version of the documentation here. You can also subscribe to the VOT mailing list to receive news about challenges and important software updates or join our support form to ask questions.

Click here to download the latest official version of the evaluation kit, but we recommend that you clone a local version of the Git repository so that you can easily update the code.

Developers

  • Luka Čehovin (lead developer)
  • Tomáš Vojíř

Contributors

  • Georg Nebehay
  • Heng Cherkeng
  • Stefan Duffner
  • Mario Maresca
  • Klaus Haag
  • Alessio Dore
  • Alan Torres
  • Alan Lukežič

License

The evaluation toolkit code and the documentation is available under GPL 3 license. The tracker examples are available under various licenses.

Enquiries, Question and Comments

If you have any further enquiries, question, or comments, please refer to the contact infromation link on the VOT homepage. If you would like to file a bug report or a feature request, use the Github issue tracker.

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Visual Object Tracking (VOT) challenge evaluation toolkit

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  • MATLAB 79.2%
  • C++ 13.0%
  • C 3.0%
  • Python 1.5%
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  • Other 0.7%