
视频来源:=oHFr0R6jQ6I
以下代码用OpenCV实现了视频中背景消除和提取的建模,涉及到KNN(K近邻算法)和GMM(高斯混合模型)。
//
// main.cpp
// opencv-learning
//
// Created by _R on 2019/1/9.
// Copyright © 2019 _R. All rights reserved.
//#include <iostream>
#include <opencv2/opencv.hpp>using namespace std;
using namespace cv;int main(int argc, char* argv[])
{VideoCapture video = VideoCapture("/Users/_R/Desktop/Highway_Test_640x360_30p.mp4");if (!video.isOpened()) {cout << "could not load video file ..." << endl;return -1;}Mat frame, bgMask_MOG2, bgMask_KNN, background;Mat kernel = getStructuringElement(MORPH_RECT, Size(3,3));namedWindow("highway_test", WINDOW_AUTOSIZE);namedWindow("background_mask_by_MOG2", WINDOW_AUTOSIZE);namedWindow("background_by_KNN", WINDOW_AUTOSIZE);namedWindow("background_mask_by_KNN", WINDOW_AUTOSIZE);Ptr<BackgroundSubtractor> ptrMOG2 = createBackgroundSubtractorMOG2();Ptr<BackgroundSubtractor> ptrKNN = createBackgroundSubtractorKNN();while (ad(frame)) {imshow("highway_test", frame);ptrMOG2->apply(frame, bgMask_MOG2);morphologyEx(bgMask_MOG2, bgMask_MOG2, MORPH_OPEN, kernel);ptrKNN->apply(frame, bgMask_KNN);ptrKNN->getBackgroundImage(background);imshow("background_by_KNN", background);imshow("background_mask_by_MOG2", bgMask_MOG2);imshow("background_mask_by_KNN", bgMask_KNN);char c = waitKey(50);if (c == 27) {break;}}waitKey(0);lease();return 0;
}
视频展示:
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