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Commit 2d079ee6 authored by Andrews Sobral's avatar Andrews Sobral
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Updated Demo files

Added Sigma-Delta algorithm.
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...@@ -67,6 +67,7 @@ along with BGSLibrary. If not, see <http://www.gnu.org/licenses/>. ...@@ -67,6 +67,7 @@ along with BGSLibrary. If not, see <http://www.gnu.org/licenses/>.
#include "package_bgs/ae/KDE.h" #include "package_bgs/ae/KDE.h"
#include "package_bgs/db/IndependentMultimodalBGS.h" #include "package_bgs/db/IndependentMultimodalBGS.h"
#include "package_bgs/sjn/SJN_MultiCueBGS.h" #include "package_bgs/sjn/SJN_MultiCueBGS.h"
#include "package_bgs/bl/SigmaDeltaBGS.h"
int main(int argc, char **argv) int main(int argc, char **argv)
{ {
...@@ -156,6 +157,9 @@ int main(int argc, char **argv) ...@@ -156,6 +157,9 @@ int main(int argc, char **argv)
/*** SJN Package (thanks to SeungJong Noh) ***/ /*** SJN Package (thanks to SeungJong Noh) ***/
//bgs = new SJN_MultiCueBGS; //bgs = new SJN_MultiCueBGS;
/*** BL Package (thanks to Benjamin Laugraud) ***/
//bgs = new SigmaDeltaBGS;
int key = 0; int key = 0;
while(key != 'q') while(key != 'q')
{ {
......
No preview for this file type
Demo2.cpp 0 → 100644
/*
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;
}
Demo2.exe 0 → 100644
File added
<?xml version="1.0"?>
<opencv_storage>
<enableThreshold>1</enableThreshold>
<threshold>15</threshold>
<showOutput>1</showOutput>
</opencv_storage>
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