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Demo.cpp
170 lines (138 loc) · 4.89 KB
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Demo.cpp
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/*
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"
#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"
#include "package_bgs/pt/PixelBasedAdaptiveSegmenter.h"
#include "package_bgs/av/VuMeter.h"
#include "package_bgs/ae/KDE.h"
int main(int argc, char **argv)
{
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 GMG;
/*** DP Package (adapted from 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 (adapted from Thierry Bouwmans) ***/
//bgs = new T2FGMM_UM;
//bgs = new T2FGMM_UV;
//bgs = new T2FMRF_UM;
//bgs = new T2FMRF_UV;
//bgs = new FuzzySugenoIntegral;
//bgs = new FuzzyChoquetIntegral;
/*** JMO Package (adapted from Jean-Marc Odobez) ***/
//bgs = new MultiLayerBGS;
/*** PT Package (adapted from Hofmann) ***/
//bgs = new PixelBasedAdaptiveSegmenter;
/*** LB Package (adapted from Laurence Bender) ***/
//bgs = new LBSimpleGaussian;
//bgs = new LBFuzzyGaussian;
//bgs = new LBMixtureOfGaussians;
//bgs = new LBAdaptiveSOM;
//bgs = new LBFuzzyAdaptiveSOM;
/*** LBP-MRF Package (adapted from Csaba Kertész) ***/
//bgs = new LbpMrf;
/*** AV Package (adapted from Antoine Vacavant) ***/
//bgs = new VuMeter;
/*** EG Package (adapted from Ahmed Elgammal) ***/
//bgs = new KDE;
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); // automatically shows the foreground mask image
//if(!img_mask.empty())
// do something
key = cvWaitKey(33);
}
delete bgs;
cvDestroyAllWindows();
cvReleaseCapture(&capture);
return 0;
}