diff --git a/Demo.cpp b/Demo.cpp
index 99aaf38f33ddfdc4788fc893e53af2cd9558731c..c5abcf7f6dd40a94229e9bbcbc703c7a3a6405f7 100644
--- a/Demo.cpp
+++ b/Demo.cpp
@@ -67,6 +67,7 @@ along with BGSLibrary. If not, see <http://www.gnu.org/licenses/>.
#include "package_bgs/ae/KDE.h"
#include "package_bgs/db/IndependentMultimodalBGS.h"
#include "package_bgs/sjn/SJN_MultiCueBGS.h"
+#include "package_bgs/bl/SigmaDeltaBGS.h"
int main(int argc, char **argv)
{
@@ -156,6 +157,9 @@ int main(int argc, char **argv)
/*** SJN Package (thanks to SeungJong Noh) ***/
//bgs = new SJN_MultiCueBGS;
+ /*** BL Package (thanks to Benjamin Laugraud) ***/
+ //bgs = new SigmaDeltaBGS;
+
int key = 0;
while(key != 'q')
{
diff --git a/Demo.exe b/Demo.exe
index 6327c541b6f7d956f397c225b751be690eb54b82..7373b7b91ab8475c7072210665ed3a2878827bd8 100644
Binary files a/Demo.exe and b/Demo.exe differ
diff --git a/Demo2.cpp b/Demo2.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..af9bb836cf3e0a9d9b92536654b801f2260a7d6b
--- /dev/null
+++ b/Demo2.cpp
@@ -0,0 +1,172 @@
+/*
+This file is part of BGSLibrary.
+
+BGSLibrary is free software: you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation, either version 3 of the License, or
+(at your option) any later version.
+
+BGSLibrary is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License
+along with BGSLibrary. If not, see <http://www.gnu.org/licenses/>.
+*/
+#include <iostream>
+#include <cv.h>
+#include <highgui.h>
+
+#include "package_bgs/FrameDifferenceBGS.h"
+#include "package_bgs/StaticFrameDifferenceBGS.h"
+#include "package_bgs/WeightedMovingMeanBGS.h"
+#include "package_bgs/WeightedMovingVarianceBGS.h"
+#include "package_bgs/MixtureOfGaussianV1BGS.h"
+#include "package_bgs/MixtureOfGaussianV2BGS.h"
+#include "package_bgs/AdaptiveBackgroundLearning.h"
+#include "package_bgs/AdaptiveSelectiveBackgroundLearning.h"
+
+#if CV_MAJOR_VERSION >= 2 && CV_MINOR_VERSION >= 4 && CV_SUBMINOR_VERSION >= 3
+#include "package_bgs/GMG.h"
+#endif
+
+#include "package_bgs/dp/DPAdaptiveMedianBGS.h"
+#include "package_bgs/dp/DPGrimsonGMMBGS.h"
+#include "package_bgs/dp/DPZivkovicAGMMBGS.h"
+#include "package_bgs/dp/DPMeanBGS.h"
+#include "package_bgs/dp/DPWrenGABGS.h"
+#include "package_bgs/dp/DPPratiMediodBGS.h"
+#include "package_bgs/dp/DPEigenbackgroundBGS.h"
+#include "package_bgs/dp/DPTextureBGS.h"
+
+#include "package_bgs/tb/T2FGMM_UM.h"
+#include "package_bgs/tb/T2FGMM_UV.h"
+#include "package_bgs/tb/T2FMRF_UM.h"
+#include "package_bgs/tb/T2FMRF_UV.h"
+#include "package_bgs/tb/FuzzySugenoIntegral.h"
+#include "package_bgs/tb/FuzzyChoquetIntegral.h"
+
+#include "package_bgs/lb/LBSimpleGaussian.h"
+#include "package_bgs/lb/LBFuzzyGaussian.h"
+#include "package_bgs/lb/LBMixtureOfGaussians.h"
+#include "package_bgs/lb/LBAdaptiveSOM.h"
+#include "package_bgs/lb/LBFuzzyAdaptiveSOM.h"
+
+#if !defined(_WIN32)
+// Currently this method works only on Linux platform.
+#include "package_bgs/ck/LbpMrf.h"
+#endif
+
+#include "package_bgs/jmo/MultiLayerBGS.h"
+// The PBAS algorithm was removed from BGSLibrary because it is
+// based on patented algorithm ViBE
+// http://www2.ulg.ac.be/telecom/research/vibe/
+//#include "package_bgs/pt/PixelBasedAdaptiveSegmenter.h"
+#include "package_bgs/av/VuMeter.h"
+#include "package_bgs/ae/KDE.h"
+#include "package_bgs/db/IndependentMultimodalBGS.h"
+#include "package_bgs/sjn/SJN_MultiCueBGS.h"
+#include "package_bgs/bl/SigmaDeltaBGS.h"
+
+int main(int argc, char **argv)
+{
+ std::cout << "Using OpenCV " << CV_MAJOR_VERSION << "." << CV_MINOR_VERSION << "." << CV_SUBMINOR_VERSION << std::endl;
+
+ /* Background Subtraction Methods */
+ IBGS *bgs;
+
+ /*** Default Package ***/
+ bgs = new FrameDifferenceBGS;
+ //bgs = new StaticFrameDifferenceBGS;
+ //bgs = new WeightedMovingMeanBGS;
+ //bgs = new WeightedMovingVarianceBGS;
+ //bgs = new MixtureOfGaussianV1BGS;
+ //bgs = new MixtureOfGaussianV2BGS;
+ //bgs = new AdaptiveBackgroundLearning;
+ //bgs = new AdaptiveSelectiveBackgroundLearning;
+ //bgs = new GMG;
+
+ /*** DP Package (thanks to Donovan Parks) ***/
+ //bgs = new DPAdaptiveMedianBGS;
+ //bgs = new DPGrimsonGMMBGS;
+ //bgs = new DPZivkovicAGMMBGS;
+ //bgs = new DPMeanBGS;
+ //bgs = new DPWrenGABGS;
+ //bgs = new DPPratiMediodBGS;
+ //bgs = new DPEigenbackgroundBGS;
+ //bgs = new DPTextureBGS;
+
+ /*** TB Package (thanks to Thierry Bouwmans, Fida EL BAF and Zhenjie Zhao) ***/
+ //bgs = new T2FGMM_UM;
+ //bgs = new T2FGMM_UV;
+ //bgs = new T2FMRF_UM;
+ //bgs = new T2FMRF_UV;
+ //bgs = new FuzzySugenoIntegral;
+ //bgs = new FuzzyChoquetIntegral;
+
+ /*** JMO Package (thanks to Jean-Marc Odobez) ***/
+ //bgs = new MultiLayerBGS;
+
+ /*** PT Package (thanks to Martin Hofmann, Philipp Tiefenbacher and Gerhard Rigoll) ***/
+ //bgs = new PixelBasedAdaptiveSegmenter;
+
+ /*** LB Package (thanks to Laurence Bender) ***/
+ //bgs = new LBSimpleGaussian;
+ //bgs = new LBFuzzyGaussian;
+ //bgs = new LBMixtureOfGaussians;
+ //bgs = new LBAdaptiveSOM;
+ //bgs = new LBFuzzyAdaptiveSOM;
+
+ /*** LBP-MRF Package (thanks to Csaba Kertész) ***/
+ //bgs = new LbpMrf;
+
+ /*** AV Package (thanks to Lionel Robinault and Antoine Vacavant) ***/
+ //bgs = new VuMeter;
+
+ /*** EG Package (thanks to Ahmed Elgammal) ***/
+ //bgs = new KDE;
+
+ /*** DB Package (thanks to Domenico Daniele Bloisi) ***/
+ //bgs = new IndependentMultimodalBGS;
+
+ /*** SJN Package (thanks to SeungJong Noh) ***/
+ //bgs = new SJN_MultiCueBGS;
+
+ /*** BL Package (thanks to Benjamin Laugraud) ***/
+ //bgs = new SigmaDeltaBGS;
+
+ int frameNumber = 1;
+ int key = 0;
+ while(key != 'q')
+ {
+ std::stringstream ss;
+ ss << frameNumber;
+ std::string fileName = "./frames/" + ss.str() + ".png";
+ std::cout << "reading " << fileName << std::endl;
+
+ cv::Mat img_input = cv::imread(fileName, CV_LOAD_IMAGE_COLOR);
+
+ if (img_input.empty())
+ break;
+
+ cv::imshow("input", img_input);
+
+ cv::Mat img_mask;
+ cv::Mat img_bkgmodel;
+ bgs->process(img_input, img_mask, img_bkgmodel); // by default, it shows automatically the foreground mask image
+
+ //if(!img_mask.empty())
+ // cv::imshow("Foreground", img_mask);
+ // do something
+
+ key = cvWaitKey(33);
+ frameNumber++;
+ }
+ cvWaitKey(0);
+ delete bgs;
+
+ cvDestroyAllWindows();
+
+ return 0;
+}
diff --git a/Demo2.exe b/Demo2.exe
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diff --git a/config/FrameDifferenceBGS.xml b/config/FrameDifferenceBGS.xml
new file mode 100644
index 0000000000000000000000000000000000000000..7bb4bea50f9d0f996f781c26e9bc2b4247fbf8b5
--- /dev/null
+++ b/config/FrameDifferenceBGS.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0"?>
+<opencv_storage>
+<enableThreshold>1</enableThreshold>
+<threshold>15</threshold>
+<showOutput>1</showOutput>
+</opencv_storage>
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