Tracking Fiducial Markers with Discriminative Correlation Filters

We present a new work for the camera pose estimation. This method employs Discriminative Correlation Filters for tracking the marker and its corners, achieving continuous detection even under extreme blurring and scaling conditions, using low computation times.

The system operates under two approaches, firstly the tracking of individual markers. In a second scenario, the use of marker mapping for a robust camera location.

The tools are fully integrated under the ArUco system.



The library can be downloaded at SourceForge


Very detailed documentation can be obtained HERE


If you use this library in your research, you must cite:

Related papers:


This software is licensed under GPLv3 license for personal, research and educational purposes.


If you have any further question, please contact fj.romero[at]uco[dot]es

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