Notes

#include <opencv2/opencv.hpp>
#include <iostream>
#include <stdio.h>
using namespace std;
using namespace cv;

Mat img; Mat templ; Mat result;
char* image_window = "Source Image";
char* result_window = "Result window";
int match_method;
int max_Trackbar = 5;

void MatchingMethod(int, void*);

int main()
{
//VideoCapture cap("D:\610606016\img\1.mp4");
VideoCapture cap(0);
int w = static_cast<int>(cap.get(CAP_PROP_FRAME_WIDTH));
int h = static_cast<int>(cap.get(CAP_PROP_FRAME_HEIGHT));
templ = imread("D:\610606016\img\face_1.jpg");
resize(templ, templ, Size(), 0.5,0.5, INTER_LINEAR);

namedWindow(image_window, CV_WINDOW_AUTOSIZE);
namedWindow(result_window, CV_WINDOW_AUTOSIZE);

char* trackbar_label = "Method: n 0: SQDIFF n 1: SQDIFF NORMED n 2: TM CCORR n 3: TM CCORR NORMED n 4: TM COEFF n 5: TM COEFF NORMED";
createTrackbar(trackbar_label, image_window, &match_method, max_Trackbar, MatchingMethod);
while (true) {
Mat frame;
bool isSuccess = cap.read(frame);
if (isSuccess == false) {
cout << "Video camera is disconnected" << endl;
cin.get(); //Wait for any key press
break;
}
img = frame;
MatchingMethod(0, 0);
if (waitKey(10) == 27)
{
cout << "Esc key is pressed by the user. Stopping the video" << endl;
break;
}
}

waitKey(0);
return 0;
}

void MatchingMethod(int, void*)
{
/// Source image to display
Mat img_display;
img.copyTo(img_display);

/// Create the result matrix
int result_cols = img.cols - templ.cols + 1;
int result_rows = img.rows - templ.rows + 1;

result.create(result_rows, result_cols, CV_32FC1);

/// Do the Matching and Normalize
matchTemplate(img, templ, result, match_method);
normalize(result, result, 0, 1, NORM_MINMAX, -1, Mat());

/// Localizing the best match with minMaxLoc
double minVal; double maxVal; Point minLoc; Point maxLoc;
Point matchLoc;

minMaxLoc(result, &minVal, &maxVal, &minLoc, &maxLoc, Mat());

/// For SQDIFF and SQDIFF_NORMED, the best matches are lower values. For all the other methods, the higher the better
if (match_method == CV_TM_SQDIFF || match_method == CV_TM_SQDIFF_NORMED)
{
matchLoc = minLoc;
}
else
{
matchLoc = maxLoc;
}

/// Show me what you got
rectangle(img_display, matchLoc, Point(matchLoc.x + templ.cols, matchLoc.y + templ.rows), Scalar::all(0), 2, 8, 0);
rectangle(result, matchLoc, Point(matchLoc.x + templ.cols, matchLoc.y + templ.rows), Scalar::all(0), 2, 8, 0);

imshow(image_window, img_display);
imshow(result_window, result);

return;
}