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法律研究如何使用 C++ 在 OpenCV 中跟踪面部位置？
当我们想要跟踪面部位置时，最好用椭圆框住面部，因为椭圆有一个中心。这个中心也是检测面部的中心点。由此，跟踪检测面部的定位变得更准确。
以下程序会跟踪检测面部的中心，并在控制台窗口中显示位置 −
示例
#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 image_with_humanface;//Declaring a matrix to load image with human faces//
image_with_humanface = imread("person.jpg");//loading an image that contains human face in it//
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//
faceDetector.detectMultiScale(image_with_humanface, faces, 1.1, 4, CASCADE_SCALE_IMAGE,Size(20,20));//Detecting the faces in 'image_with_humanfaces' matrix//
for (int i = 0; i < faces.size(); i++){ //Initiating for loop to detect the largest 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(image_with_humanface, 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 at(x,y)=" << " ("<<CAP_PROP_XI_DECIMATION_HORIZONTAL<<","<<CAP_PROP_XI_DECIMATION_VERTICAL<<")"<< endl;//
imshow("Face Detection", image_with_humanface);//Showing the largest face face//
waitKey(0);//To wait for keystroke to terminate the program
return 0;
}输出
更新于: 10-Mar-2021
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