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