Open Source Computer Vision Library https://opencv.org/
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/*
* FGBGTest.cpp
*
* Created on: May 7, 2012
* Author: Andrew B. Godbehere
*/
#include <opencv2/opencv.hpp>
#include <opencv2/core/utility.hpp>
#include <iostream>
using namespace cv;
static void help()
{
std::cout <<
"\nA program demonstrating the use and capabilities of a particular BackgroundSubtraction\n"
"algorithm described in A. Godbehere, A. Matsukawa, K. Goldberg, \n"
"\"Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive\n"
"Audio Art Installation\", American Control Conference, 2012, used in an interactive\n"
"installation at the Contemporary Jewish Museum in San Francisco, CA from March 31 through\n"
"July 31, 2011.\n"
"Call:\n"
"./BackgroundSubtractorGMG_sample\n"
"Using OpenCV version " << CV_VERSION << "\n"<<std::endl;
}
int main(int argc, char** argv)
{
help();
initModule_video();
setUseOptimized(true);
setNumThreads(8);
Ptr<BackgroundSubtractor> fgbg = createBackgroundSubtractorGMG(20, 0.7);
if (fgbg.empty())
{
std::cerr << "Failed to create BackgroundSubtractor.GMG Algorithm." << std::endl;
return -1;
}
VideoCapture cap;
if (argc > 1)
cap.open(argv[1]);
else
cap.open(0);
if (!cap.isOpened())
{
std::cerr << "Cannot read video. Try moving video file to sample directory." << std::endl;
return -1;
}
Mat frame, fgmask, segm;
namedWindow("FG Segmentation", WINDOW_NORMAL);
for (;;)
{
cap >> frame;
if (frame.empty())
break;
fgbg->apply(frame, fgmask);
frame.convertTo(segm, CV_8U, 0.5);
add(frame, Scalar(100, 100, 0), segm, fgmask);
imshow("FG Segmentation", segm);
int c = waitKey(30);
if (c == 'q' || c == 'Q' || (c & 255) == 27)
break;
}
return 0;
}