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* [[OpenCV]]'s Cascade Classifiers support LBPs as of version 2.
* [http://vlfeat.org/ VLFeat], an open source computer vision library in C (with bindings to multiple languages including MATLAB) has an [http://www.vlfeat.org/api/lbp_8h.html implementation].
* [https://github.com/carolinepacheco/lbplibrary] is a collection of eleven Local Binary Patterns (LBP) algorithms developed for background subtraction problem. The algorithms were implemented in C++ based on OpenCV. A CMake file is provided and the library is complatible with Windows, Linux and Mac OS X. The library was tested successfully with OpenCV 2.4.10.
* [http://code.google.com/p/bgslibrary/ bgslibrary] includes the original LBP implementation for motion detection<ref>M. Heikkilä, M. Pietikäinen, "A texture-based method for modeling the background and detecting moving objects", IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(4):657-662, 2006.</ref> as well as a new LBP operator variant combined with Markov Random Fields<ref>C., Kertész: Texture-Based Foreground Detection, International Journal of Signal Processing, Image Processing and Pattern Recognition (IJSIP), Vol. 4, No. 4, 2011.</ref> with improved recognition rates and robustness.
* [http://dlib.net dlib], an open source C++ library: [https://github.com/davisking/dlib/blob/master/dlib/image_transforms/lbp.h implementation].
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