GMM背景建模与前景提取

#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/video/background_segm.hpp>
#include <iostream>
#include <vector>
#include <string>
using namespace std;
using namespace cv;
int main()
{
string file = "/home/zhanghan/itemloss/myself/video/2.mp4";
VideoCapture cap(file);
Mat frame,frameGray;
Mat foreground,fgmask;
Mat bgimg;
Ptr<BackgroundSubtractorMOG2> mog = createBackgroundSubtractorMOG2();
bool success = true;
int num = 1;
while(success)
{
if(!cap.read(frame))
success = false;
mog->apply(frame,fgmask,-1);
mog->getBackgroundImage(bgimg);
string name = "cap_" + to_string(num) + ".jpg";
imwrite(name,fgmask);
++num;
}
return 0;
}

2.

#ifndef _DETECTOR_H
#define _DETECTOR_H
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/video/background_segm.hpp>
#include <string>
using namespace std;
using namespace cv;
class Detector{
public:
Detector();
~Detector();
void SetThresh(const int& area);
bool Detect(const Mat& img);
private:
Ptr<BackgroundSubtractorMOG2> mog;
bool alarm = false;
Mat fgmask;
int thresh;
int num;
};
#endif

3.

#include "detect.hpp"
using namespace cv;
Detector::Detector()
{
mog = createBackgroundSubtractorMOG2();
num = 0;
};
Detector::~Detector(){};
void Detector::SetThresh(const int& area)
{
thresh = area;
};
bool Detector::Detect(const Mat& img)
{
Ptr<BackgroundSubtractorMOG2> mog;
mog->apply(img,fgmask,-1);
num += 1;
string name = "cap_" + to_string(num) + ".jpg";
imwrite(name,fgmask);
};

4.

#!/usr/bin env sh
#g++ gmm.cpp -std=c++11 
#	-L/usr/lib/x86_64-linux-gnu/ 
#	-I/usr/include/opencv/ 
#	-I/usr/include/opencv2/ 
#
-o gmm
g++ gmm.cpp -std=c++11 
-I/usr/include/opencv 
-I/usr/include/opencv2 
-L/usr/lib/x86_64-linux-gnu/ 
-lopencv_highgui -lopencv_imgproc -lopencv_core 
-o gmm

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