Demo2.cpp

/*
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 <opencv2/opencv.hpp>


#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;
}