C ++を使用してOpenCVでリアルタイムに顔を追跡する方法は？

OpenCVでリアルタイムに顔を追跡する方法を学びます。このプログラムは前のプログラムと同じですが、違いは、顔を識別するために長方形の代わりに楕円を使用し、コンソールウィンドウに顔の座標を表示するために追加の「cout」ステートメントも使用したことです。

リアルタイムで人間の顔を検出する次のプログラム-

例

#include<iostream>
#include<opencv2/highgui/highgui.hpp>
#include<opencv2/imgproc/imgproc.hpp>
//This header includes definition of 'rectangle()' function//
#include<opencv2/objdetect/objdetect.hpp>
//This header includes the definition of Cascade Classifier//
#include<string>
using namespace std;
using namespace cv;
int main(int argc, char** argv) {
   Mat video_stream;//Declaring a matrix hold frames from video stream//
   VideoCapture real_time(0);//capturing video from default webcam
   namedWindow("Face Detection");//Declaring an window to show the result//
   string trained_classifier_location = "C:/opencv/sources/data/haarcascades/haarcascade_frontalface_alt.xml";//Defining the location our XML Trained Classifier in a string//
   CascadeClassifier faceDetector;//Declaring an object named 'face detector' of CascadeClassifier class//
   faceDetector.load(trained_classifier_location);//loading the XML trained classifier in the object//
   vector<Rect>faces;//Declaring a rectangular vector named faces//
   while (true) {
      faceDetector.detectMultiScale(video_stream, faces, 1.1, 4, CASCADE_SCALE_IMAGE, Size(30, 30));//Detecting the faces in 'image_with_humanfaces' matrix//
      real_time.read(video_stream);// reading frames from camera and loading them in 'video_stream' Matrix//
      for (int i = 0; i < faces.size(); i++){ //for locating the face
         Point center(faces[i].x + faces[i].width * 0.5, faces[i].y + faces[i].height * 0.5);//getting the center of the face//
         ellipse(video_stream, center,Size(faces[i].width * 0.5, faces[i].height * 0.5), 0, 0, 360, Scalar(255, 0, 255), 4, 8, 0);//draw an ellipse on the face//
         int horizontal = (faces[i].x + faces[i].width * 0.5);//Getting the horizontal value of coordinate//
         int vertical=(faces[i].y + faces[i].width * 0.5);//Getting the vertical value of coordinate//
         cout << "Position of the face is:" << "(" << horizontal << "," << vertical << ")" << endl;
         //Showing position in the console window//
      }
      imshow("Face Detection", video_stream);
      //Showing the detected face//
      if (waitKey(10) == 27){ //wait time for each frame is 10 milliseconds//
         break;
      }
   }
   return 0;
}

出力