Demo.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"

#include "package_bgs/ck/LbpMrf.h"
#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"

#include "package_bgs/pl/SuBSENSE.h"
#include "package_bgs/pl/LOBSTER.h"

int main(int argc, char **argv)
{
  std::cout << "Using OpenCV " << CV_MAJOR_VERSION << "." << CV_MINOR_VERSION << "." << CV_SUBMINOR_VERSION << std::endl;

  CvCapture *capture = 0;
  int resize_factor = 100;

  if(argc > 1)
  {
    std::cout << "Openning: " << argv[1] << std::endl;
    capture = cvCaptureFromAVI(argv[1]);
  }
  else
  {
    capture = cvCaptureFromCAM(0);
    resize_factor = 50; // set size = 50% of original image
  }

  if(!capture)
  {
    std::cerr << "Cannot initialize video!" << std::endl;
    return -1;
  }
  
  IplImage *frame_aux = cvQueryFrame(capture);
  IplImage *frame = cvCreateImage(cvSize((int)((frame_aux->width*resize_factor)/100) , (int)((frame_aux->height*resize_factor)/100)), frame_aux->depth, frame_aux->nChannels);
  cvResize(frame_aux, frame);

  /* 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;

  /*** PL Package (thanks to Pierre-Luc) ***/
  //bgs = new SuBSENSEBGS();
  //bgs = new LOBSTERBGS();

  int key = 0;
  while(key != 'q')
  {
    frame_aux = cvQueryFrame(capture);
    if(!frame_aux) break;

    cvResize(frame_aux, frame);
    
    cv::Mat img_input(frame);
    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);
  }

  delete bgs;

  cvDestroyAllWindows();
  cvReleaseCapture(&capture);

  return 0;
}