// This file is part of OpenCV project. // It is subject to the license terms in the LICENSE file found in the top-level directory // of this distribution and at http://opencv.org/license.html #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp" #include "opencv2/videoio.hpp" #include "opencv2/highgui.hpp" #include using namespace std; using namespace cv; int main(int argc, const char** argv) { const String keys = "{c camera | 0 | use video stream from camera (device index starting from 0) }" "{fn file_name | | use video file as input }" "{m method | mog2 | method: background subtraction algorithm ('knn', 'mog2')}" "{h help | | show help message}"; CommandLineParser parser(argc, argv, keys); parser.about("This sample demonstrates background segmentation."); if (parser.has("help")) { parser.printMessage(); return 0; } int camera = parser.get("camera"); String file = parser.get("file_name"); String method = parser.get("method"); if (!parser.check()) { parser.printErrors(); return 1; } VideoCapture cap; if (file.empty()) cap.open(camera); else { file = samples::findFileOrKeep(file); // ignore gstreamer pipelines cap.open(file.c_str()); } if (!cap.isOpened()) { cout << "Can not open video stream: '" << (file.empty() ? "" : file) << "'" << endl; return 2; } Ptr model; if (method == "knn") model = createBackgroundSubtractorKNN(); else if (method == "mog2") model = createBackgroundSubtractorMOG2(); if (!model) { cout << "Can not create background model using provided method: '" << method << "'" << endl; return 3; } cout << "Press to toggle background model update" << endl; cout << "Press 's' to toggle foreground mask smoothing" << endl; cout << "Press ESC or 'q' to exit" << endl; bool doUpdateModel = true; bool doSmoothMask = false; Mat inputFrame, frame, foregroundMask, foreground, background; for (;;) { // prepare input frame cap >> inputFrame; if (inputFrame.empty()) { cout << "Finished reading: empty frame" << endl; break; } const Size scaledSize(640, 640 * inputFrame.rows / inputFrame.cols); resize(inputFrame, frame, scaledSize, 0, 0, INTER_LINEAR); // pass the frame to background model model->apply(frame, foregroundMask, doUpdateModel ? -1 : 0); // show processed frame imshow("image", frame); // show foreground image and mask (with optional smoothing) if (doSmoothMask) { GaussianBlur(foregroundMask, foregroundMask, Size(11, 11), 3.5, 3.5); threshold(foregroundMask, foregroundMask, 10, 255, THRESH_BINARY); } if (foreground.empty()) foreground.create(scaledSize, frame.type()); foreground = Scalar::all(0); frame.copyTo(foreground, foregroundMask); imshow("foreground mask", foregroundMask); imshow("foreground image", foreground); // show background image model->getBackgroundImage(background); if (!background.empty()) imshow("mean background image", background ); // interact with user const char key = (char)waitKey(30); if (key == 27 || key == 'q') // ESC { cout << "Exit requested" << endl; break; } else if (key == ' ') { doUpdateModel = !doUpdateModel; cout << "Toggle background update: " << (doUpdateModel ? "ON" : "OFF") << endl; } else if (key == 's') { doSmoothMask = !doSmoothMask; cout << "Toggle foreground mask smoothing: " << (doSmoothMask ? "ON" : "OFF") << endl; } } return 0; }