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Overview

This library containing 7 popular background subtraction algorithms:

  • adaptive median filtering
  • eigenbackground
  • single Gaussian
  • Gaussian mixture models
  • adaptive Gaussian mixture models
  • running mean
  • mediod filtering

This library makes use of OpenCV.

Building with CMake

$ mkdir _build
$ cd _build
$ cmake ..
$ make

Building Python Interface

  1. Install OpenCV with Python bindings enabled.

  2. Edit include_dirs in the setup.py.

  3. Build the cython module:

     $ pip install numpy cython
 $ python setup.py build_ext --inplace

  4. Test the module using stream from the webcam:

     $ python pybgs_test.py

Citation

If you find this software useful, please consider citing:

  • Parks DH, Fels SS. 2008. Evaluation of background substraction algorithms with post-processing. IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance (AVSS2008): 192-199.

License

This software is released under GNU General Public License version 3. See LICENSE.txt for further details.

Contact

Inquires regarding this software can be directed to: donovan_parks_at_gmail_dot_com