120 lines
3.1 KiB
C++
120 lines
3.1 KiB
C++
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#include "opencv2/imgproc.hpp"
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#include "opencv2/videoio.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/video/background_segm.hpp"
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#include <stdio.h>
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#include <string>
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using namespace std;
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using namespace cv;
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static void help(char** argv)
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{
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printf("\n"
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"This program demonstrated a simple method of connected components clean up of background subtraction\n"
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"When the program starts, it begins learning the background.\n"
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"You can toggle background learning on and off by hitting the space bar.\n"
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"Call\n"
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"%s [video file, else it reads camera 0]\n\n", argv[0]);
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}
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static void refineSegments(const Mat& img, Mat& mask, Mat& dst)
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{
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int niters = 3;
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vector<vector<Point> > contours;
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vector<Vec4i> hierarchy;
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Mat temp;
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dilate(mask, temp, Mat(), Point(-1,-1), niters);
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erode(temp, temp, Mat(), Point(-1,-1), niters*2);
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dilate(temp, temp, Mat(), Point(-1,-1), niters);
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findContours( temp, contours, hierarchy, RETR_CCOMP, CHAIN_APPROX_SIMPLE );
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dst = Mat::zeros(img.size(), CV_8UC3);
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if( contours.size() == 0 )
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return;
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// iterate through all the top-level contours,
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// draw each connected component with its own random color
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int idx = 0, largestComp = 0;
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double maxArea = 0;
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for( ; idx >= 0; idx = hierarchy[idx][0] )
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{
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const vector<Point>& c = contours[idx];
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double area = fabs(contourArea(Mat(c)));
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if( area > maxArea )
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{
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maxArea = area;
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largestComp = idx;
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}
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}
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Scalar color( 0, 0, 255 );
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drawContours( dst, contours, largestComp, color, FILLED, LINE_8, hierarchy );
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}
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int main(int argc, char** argv)
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{
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VideoCapture cap;
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bool update_bg_model = true;
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CommandLineParser parser(argc, argv, "{help h||}{@input||}");
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if (parser.has("help"))
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{
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help(argv);
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return 0;
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}
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string input = parser.get<std::string>("@input");
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if (input.empty())
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cap.open(0);
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else
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cap.open(samples::findFileOrKeep(input));
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if( !cap.isOpened() )
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{
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printf("\nCan not open camera or video file\n");
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return -1;
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}
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Mat tmp_frame, bgmask, out_frame;
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cap >> tmp_frame;
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if(tmp_frame.empty())
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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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namedWindow("video", 1);
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namedWindow("segmented", 1);
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Ptr<BackgroundSubtractorMOG2> bgsubtractor=createBackgroundSubtractorMOG2();
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bgsubtractor->setVarThreshold(10);
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for(;;)
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{
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cap >> tmp_frame;
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if( tmp_frame.empty() )
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break;
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bgsubtractor->apply(tmp_frame, bgmask, update_bg_model ? -1 : 0);
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refineSegments(tmp_frame, bgmask, out_frame);
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imshow("video", tmp_frame);
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imshow("segmented", out_frame);
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char keycode = (char)waitKey(30);
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if( keycode == 27 )
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break;
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if( keycode == ' ' )
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{
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update_bg_model = !update_bg_model;
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printf("Learn background is in state = %d\n",update_bg_model);
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}
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}
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return 0;
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}
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