追跡プログラムでの対象物の座標の取得

前提・実現したいこと

MATLABで動かした、赤色追跡のプログラムで取得した赤い物体の位置をリアルタイム（プログラム作動と同時に）で画面上での座標を知りたいです。（画面内に一つ)

発生している問題・エラーメッセージ

追跡プログラムは問題なく動きますが、追跡する画面しか出ません。
どのようにすれば、座標をプロットできますか？

該当のソースコード

% Capture the video frames using the videoinput function
% You have to replace the resolution & your installed adaptor name.
vid = videoinput( 'winvideo',1, 'YUY2_320x240');

% Set the properties of the video object
set(vid, 'FramesPerTrigger', Inf);
set(vid, 'ReturnedColorspace', 'rgb')
vid.FrameGrabInterval = 5;

%start the video aquisition here
start(vid)

% Set a loop that stop after 100 frames of aquisition
while(vid.FramesAcquired<=200)
    
    % Get the snapshot of the current frame
    data = getsnapshot(vid);
    
    % Now to track red objects in real time
    % we have to subtract the red component 
    % from the grayscale image to extract the red components in the image.
    diff_im = imsubtract(data(:,:,1), rgb2gray(data));
    %Use a median filter to filter out noise
    diff_im = medfilt2(diff_im, [3 3]);
    % Convert the resulting grayscale image into a binary image.
    diff_im = im2bw(diff_im,0.18);
    
    % Remove all those pixels less than 300px
    diff_im = bwareaopen(diff_im,300);
    
    % Label all the connected components in the image.
    bw = bwlabel(diff_im, 8);
    
    % Here we do the image blob analysis.
    % We get a set of properties for each labeled region.
    stats = regionprops(bw, 'BoundingBox', 'Centroid');
    
    % Display the image
    imshow(data)
    
    hold on
    
    %This is a loop to bound the red objects in a rectangular box.
    for object = 1:length(stats)
        bb = stats(object).BoundingBox;
        bc = stats(object).Centroid;
        rectangle('Position',bb,'EdgeColor','r','LineWidth',2)
        plot(bc(1),bc(2), '-m+')
        %a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), '    Y: ', num2str(round(bc(2)))));
        %set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'yellow');
    end
    
    hold off
end
% Both the loops end here.

% Stop the video aquisition.
stop(vid);

% Flush all the image data stored in the memory buffer.
flushdata(vid);

% Clear all variables
clear all
sprintf('%s','That was all about Image tracking, Guess that was pretty easy :) ')