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Implementation of MOSSE tracker in MATLAB: Visual Object Tracking using Adaptive Correlation Filters (CVPR 2010)

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mosse-tracker

This is a MATLAB implementation of Minimum Output Sum of Squared Error (MOSSE) tracking algorithm.

Details regarding the tracking algorithm can be found in the following paper:

Visual Object Tracking using Adaptive Correlation Filters.
David S. Bolme, J. Ross Beveridge, Bruce A. Draper, Yui Man Lui.
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on. IEEE, 2010.

Output

Surfer result gif

Dependencies

  • MATLAB
  • MATLAB Vision Toolbox

How to run

  • Start MATLAB and navigate to project directory.
  • Navigate to src/ directory.
    >> cd src
  • Run the mosse MATLAB script.
    >> mosse
  • First frame of the video will popup; select the object to track.
  • The tracker script will show subsequent frames with appropriate bounding boxes.

To run on your dataset, simply change the path in src/mosse.m script.

License

MIT

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Implementation of MOSSE tracker in MATLAB: Visual Object Tracking using Adaptive Correlation Filters (CVPR 2010)

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