Last Page Update: 21/07/2016

Latest Library Version: 1.0.0 (see Release Notes for more info).

The LBP Library 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.

Tests with OpenCV 3 are being conducted, and new changes can be made soon.

• BG-LBP (BackGround Local Binary Pattern) by Davarpanah et al. (2015)
• CS-LBP (First-order Center-Symmetric Local Binary Patterns) by Heikkilä et al. (2006)
• CS-LDP (Second-order Center-Symmetric Local Derivative Pattern) by Xue et al. (2011)
• CS-SILTP (Center-Symmetric Scale Invariant Local Ternary Patterns) by Wu et al. (2013)
• E-LBP (Extended LBP or Circular LBP) by Mdakane and Bergh (2012)
• OC-LBP (Opponent Color Local Binary Pattern) by Maenpaa and Pietikainen (2004)
• O-LBP (Original LBP) by Ojala et al. (2001)
• SCS-LBP (Spatial extended Center-Symmetric Local Binary Pattern) by Xue et al. (2010)
• SI-LTP (Scale Invariant Local Ternary Pattern) by Liao et al. (2010)
• VAR-LBP (Variance-based LBP) by Ojala et al. (2002)
• XCS-LBP (eXtended Center-Symmetric Local Binary Pattern) by Silva et al. (2015)

If you use this library for your publications, please cite it as:

@inproceedings{lbplibrary,
author    = {Silva, Caroline and Bouwmans, Thierry and Frelicot, Carl},
title     = {An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos},
booktitle = {10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP)},
address   = {Berlin, Germany},
year      = {2015},
url       = {https://github.com/carolinepacheco/lbplibrary}
}

Andrews Sobral and Cristina Lazar.

#include <iostream>
#include <opencv2/opencv.hpp>

#include "lbplibrary.hpp"
using namespace lbplibrary;

int main(int argc, char **argv)
{
  cv::VideoCapture cap(0);
	if (!cap.isOpened())
		return;

	LBP *lbp;
	lbp = new OLBP;
	//lbp = new ELBP;
	//lbp = new VARLBP;
	//lbp = new CSLBP;
	//lbp = new CSLDP;
	//lbp = new XCSLBP;
	//lbp = new SILTP;
	//lbp = new CSSILTP;
	//lbp = new SCSLBP;
	//lbp = new BGLBP;

	cv::Mat frame, img_lbp;
	while (1)
	{
		cap >> frame;
		cv::resize(frame, frame, cv::Size(320, 240));

		imshow("capture", frame);
		show_multi_histogram(frame);

		cv::cvtColor(frame, frame, CV_BGR2GRAY);
		//cv::GaussianBlur(frame, frame, cv::Size(7, 7), 5, 3, cv::BORDER_CONSTANT);

		imshow("gray", frame);
		show_histogram("gray_hist", frame);

		lbp->run(frame, img_lbp);
		cv::normalize(img_lbp, img_lbp, 0, 255, cv::NORM_MINMAX, CV_8UC1);

		cv::imshow("lbp", img_lbp);
		show_histogram("lbp_hist", img_lbp);

		if (cv::waitKey(10) >= 0)
			break;
	}

	delete lbp;
}

• Version 1.0.0: First stable version. Added 11 LBP algorithms.