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How can I add more selections to track at the same time?

I was playing around with opencv projects and just found and modified this code which uses a any camera to get the image and make one selection with the mouse to track items in real time, but now I really want it to track 3 items at the same time. I dont understand the code at all so i dont know how to make more selections to track in the same window.

Here's the code, I use visual studio, sorry if its a mess:

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


#include <sstream>
#include <string>
#include <iostream>
#include <opencv/highgui.h>
#include <opencv/cv.h>

#include <stdlib.h>
#include <stdio.h>

#include <vector>

using namespace cv; 
using namespace std;

Point point1, point2; /* vertical points of the bounding box */
int drag = 0;
Rect rect; /* bounding box */
Mat img, roiImg; /* roiImg - the part of the image in the bounding box */
Mat img1;
int select_flag = 0;
bool go_fast = true;
    Point matchLoc;
            static Mat lol;

Mat mytemplate;

bool key = false;

void track(cv::Mat &img, const cv::Mat &templ, const cv::Rect &r )
{
    static int n = 0;
    if (select_flag)
    {
        templ.copyTo(mytemplate);
        select_flag = false;
        go_fast = true;
    }


    cv::Mat result;
    /// Do the Matching and Normalize
    matchTemplate( img, mytemplate, result, CV_TM_SQDIFF_NORMED );
    normalize( result, result, 0, 1, NORM_MINMAX, -1, Mat() );

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

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

    rectangle( img, matchLoc, Point( matchLoc.x + mytemplate.cols , matchLoc.y + mytemplate.rows ), CV_RGB(0, 255, 0), 3, 8, 0);

    std::cout << matchLoc << "\n";
    stringstream ss;
ss << matchLoc;
string str = ss.str();

stringstream ss2;
ss2 << point1.x;
string str2 = ss2.str();

stringstream ss3;
ss3 <<  point1.y;
string str3 = ss3.str();

                 putText(img, str, Point(matchLoc.x, matchLoc.y - 10), 1, 1, Scalar(0, 255, 0), 0.5);
                 putText(img, "1", Point((matchLoc.x + mytemplate.cols)-10 , (matchLoc.y + mytemplate.rows )-10 ), 1, 1, Scalar(0, 255, 0), 0.5);

                  if(true){ 
                    putText(img, "1{", Point(0, 50), 1, 1, Scalar(0, 255, 255), 1);
                     putText(img, str2, Point(15, 50), 1, 1, Scalar(0, 255, 255), 1);
                     putText(img, ",", Point(45, 50), 1, 1, Scalar(0, 255, 255), 1);
                    putText(img, str3, Point(50, 50), 1, 1, Scalar(0, 255, 255), 1);
                 }
                  if (point1.x == matchLoc.x | point1.x > matchLoc.x -39 && point1.x < matchLoc.x +39 | point1.y > matchLoc.y -39 && point1.y < matchLoc.y +39| point1.y == matchLoc.y)
                  {
                      key = true;

                  }else
                  {
                      key = false;

                  }

}

///MouseCallback function

void mouseHandler(int event, int x, int y, int flags, void *param)
{
    if (event == CV_EVENT_LBUTTONDOWN && !drag)
    {
        /* left button clicked. ROI selection begins */
        point1 = Point(x, y);
        drag = 1;
    }

    if (event == CV_EVENT_MOUSEMOVE && drag)
    {
        /* mouse dragged. ROI being selected */
        Mat img1 = img.clone();
        point2 = Point(x, y);
        rectangle(img1, point1, point2, CV_RGB(255, 255, 255), 0.5);
        imshow("image", img1);
    }

    if (event == CV_EVENT_LBUTTONUP && drag)
    {


        point2 = Point(x, y);
        rect = Rect(point1.x, point1.y, x - point1.x, y - point1.y);
        drag = 0;
        roiImg = img(rect);
        lol = img(rect);
        putText(img, "1", Point(point1.x , point1.y ), 1, 1, Scalar(0, 255, 0), 0.5);


    }

    if (event == CV_EVENT_LBUTTONUP)
    {

        /* ROI selected */
        select_flag = 1;
        drag = 0;


    }

}


///Main function

int main()
{
    int k;


        VideoCapture cap(1);
        if (!cap.isOpened())
        return 1;
    /*
    VideoCapture cap;
    //cap.open("~/Downloads/opencv-2.4.4/samples/cpp/tutorial_code/HighGUI/video-input-psnr-ssim/video/Megamind.avi");
    cap.open("./Megamind.avi");
    if (!cap.isOpened())
    {
        printf("Unable to open video file\n");
        return -1;
    }*/


        // Set video to 320x240
        cap.set(CV_CAP_PROP_FRAME_WIDTH, 320);
        cap.set(CV_CAP_PROP_FRAME_HEIGHT, 240);


    cap >> img;
    imshow("image", img);

    while (1)
    {
        cap >> img;
        if (img.empty())
            break;
         cv::flip( img, img, 1 );
         putText(img, "[ESC] para detener", Point(5, 15), 1, 1, Scalar(0, 123, 231), 1);

         if (key == true)
         {

         putText(img, "SI", Point(10, 80), 1, 1, Scalar(0, 255, 0), 1);

         }else
         {

        putText(img, "NO", Point(10, 80), 1, 1, Scalar(0, 0, 255), 1);

         }



        if (rect.width == 0 && rect.height == 0)
            cvSetMouseCallback("image", mouseHandler, NULL);
        else
            track(img, roiImg, rect);
        if (select_flag == 1)
            imshow("Template", roiImg);

        imshow("image", img);
        k = waitKey(go_fast ? 30 : 10000);
        if (k == 27)
            break;

    }


    return 0;
}