Open Source Computer Vision Library https://opencv.org/
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#include <opencv2/video/background_segm.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <stdio.h>
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void help()
{
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printf("\nDo background segmentation, especially demonstrating the use of cvUpdateBGStatModel().\n"
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"Learns the background at the start and then segments.\n"
"Learning is togged by the space key. Will read from file or camera\n"
"Call:\n"
"./ bgfg_segm [file name -- if no name, read from camera]\n\n");
}
//this is a sample for foreground detection functions
int main(int argc, char** argv)
{
IplImage* tmp_frame = NULL;
CvCapture* cap = NULL;
bool update_bg_model = true;
if( argc < 2 )
cap = cvCaptureFromCAM(0);
else
cap = cvCaptureFromFile(argv[1]);
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help();
if( !cap )
{
printf("can not open camera or video file\n");
return -1;
}
tmp_frame = cvQueryFrame(cap);
if(!tmp_frame)
{
printf("can not read data from the video source\n");
return -1;
}
cvNamedWindow("BG", 1);
cvNamedWindow("FG", 1);
CvBGStatModel* bg_model = 0;
for( int fr = 1;tmp_frame; tmp_frame = cvQueryFrame(cap), fr++ )
{
if(!bg_model)
{
//create BG model
bg_model = cvCreateGaussianBGModel( tmp_frame );
//bg_model = cvCreateFGDStatModel( temp );
continue;
}
double t = (double)cvGetTickCount();
cvUpdateBGStatModel( tmp_frame, bg_model, update_bg_model ? -1 : 0 );
t = (double)cvGetTickCount() - t;
printf( "%d. %.1f\n", fr, t/(cvGetTickFrequency()*1000.) );
cvShowImage("BG", bg_model->background);
cvShowImage("FG", bg_model->foreground);
char k = cvWaitKey(5);
if( k == 27 ) break;
if( k == ' ' )
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{
update_bg_model = !update_bg_model;
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if(update_bg_model)
printf("Background update is on\n");
else
printf("Background update is off\n");
}
}
cvReleaseBGStatModel( &bg_model );
cvReleaseCapture(&cap);
return 0;
}