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LBP Library

Last Page Update: 26/09/2018

Latest Library Version: 1.0.1 (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.x and OpenCV 3.4.x.

List of the algorithms available in the LBP Library

• 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)

Citation

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}
}

List of collaborators

Andrews Sobral and Cristina Lazar.

Example code

#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;
}

Release Notes:

• Version 1.0.1: Code refactoring, removed unused variables, added OpenCV 3.x support, fixed some issues and updated cmakefile.

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