BS算法

    - 图像分割(GMM – 高斯混合模型)

    - 机器学习(KNN –K个最近邻) 

BackgroundSubtractor （父类）

   -  BackgroundSubtractorMOG2

   -  BackgroundSubtractorKNN

#include <opencv2/opencv.hpp>

#include <iostream>

using namespace cv;

using namespace std;

int main(int argc, char**) {

    VideoCapture capture;

    capture.open("D:/images/video_004.avi");

    if (!capture.isOpened()) {

        printf("could not find the video file...\n");

        return -;

    }

    // create windows

    Mat frame;

    Mat bsmaskMOG2, bsmaskKNN;

    namedWindow("input video", CV_WINDOW_AUTOSIZE);

    namedWindow("MOG2", CV_WINDOW_AUTOSIZE);

    Mat kernel = getStructuringElement(MORPH_RECT, Size(, ), Point(-, -));

    // MOG2 BS

    Ptr<BackgroundSubtractor> pMOG2 = createBackgroundSubtractorMOG2();

    // KNN  BS

    Ptr<BackgroundSubtractor> pKNN = createBackgroundSubtractorKNN();

    while (capture.read(frame)) {

        imshow("input video", frame);

        pMOG2->apply(frame, bsmaskMOG2);

        morphologyEx(bsmaskMOG2, bsmaskMOG2, MORPH_OPEN, kernel, Point(-, -));

        imshow("MOG2", bsmaskMOG2);

        pKNN->apply(frame, bsmaskKNN);

        morphologyEx(bsmaskKNN, bsmaskKNN, MORPH_OPEN, kernel, Point(-, -));

        imshow("KNN", bsmaskKNN);

        char c = waitKey();

        if (c == ) {

            break;

        }

    }

    capture.release();

    waitKey();

    return ;

}