保存检测到的面部形象的OpenCV(Saving Images of Detected Faces

我有侦测脸部，然后将其保存的多个裁剪区域图像文件路径的代码。我的代码不停止保存检测到的面部图像，直到我身体关闭程序。对于每一秒在一个摄像头检测到面部，我的代码保存的面部6倍的图像。

是否有可能有它保存每个面只有一个图像检测？例如，如果有一个面中，只有一个图像，如果两个面，两个面上的图像被保存等我的代码如下。谁能帮我？

#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>

using namespace std;
using namespace cv;

void detectAndDisplay(Mat frame);

string face_cascade_name = "C:\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt2.xml";
CascadeClassifier face_cascade;
string window_name = "Window";
int filenumber; 
string filename;


int main(void)
{
    VideoCapture capture(0);

    if (!capture.isOpened())  
        return -1;

    if (!face_cascade.load(face_cascade_name))
    {
        cout << "error" << endl;
        return (-1);
    };

    Mat frame;

    for (;;)
    {
        capture >> frame;

        if (!frame.empty())
        {
            detectAndDisplay(frame);
        }
        else
        {
            cout << "error2" << endl;
            break;
        }

        int c = waitKey(10);

        if (27 == char(c))
        {
            break;
        }
    }

    return 0;
}

void detectAndDisplay(Mat frame)
{
    std::vector<Rect> faces;
    Mat frame_gray;
    Mat crop;
    Mat res;
    Mat gray;
    string text;
    stringstream sstm;

    cvtColor(frame, frame_gray, COLOR_BGR2GRAY);
    equalizeHist(frame_gray, frame_gray);

    face_cascade.detectMultiScale(frame_gray, faces, 1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));

    cv::Rect roi_b;
    cv::Rect roi_c;

    size_t ic = 0; 
    int ac = 0; 

    size_t ib = 0; 
    int ab = 0; 

    for (ic = 0; ic < faces.size(); ic++) 

    {
        roi_c.x = faces[ic].x;
        roi_c.y = faces[ic].y;
        roi_c.width = (faces[ic].width);
        roi_c.height = (faces[ic].height);

        ac = roi_c.width * roi_c.height; 

        roi_b.x = faces[ib].x;
        roi_b.y = faces[ib].y;
        roi_b.width = (faces[ib].width);
        roi_b.height = (faces[ib].height);


        crop = frame(roi_b);
        resize(crop, res, Size(128, 128), 0, 0, INTER_LINEAR); 
        cvtColor(crop, gray, CV_BGR2GRAY); 

        filename = "C:\\Users\\Desktop\\Faces\\face";
        stringstream ssfn;
        ssfn << filename.c_str() << filenumber << ".jpg";
        filename = ssfn.str();
        cv::imwrite(filename, res); 
        filenumber++;


        Point pt1(faces[ic].x, faces[ic].y); 
        Point pt2((faces[ic].x + faces[ic].height), (faces[ic].y + faces[ic].width));
        rectangle(frame, pt1, pt2, Scalar(0, 255, 0), 2, 8, 0);
    }


    sstm << "Crop area size: " << roi_b.width << "x" << roi_b.height << " Filename: " << filename;
    text = sstm.str();

    if (!crop.empty())
    {
        imshow("detected", crop);
    }
    else
        destroyWindow("detected");

}