Thread Subject: GUI function error

Hi,

I'm doing a project on "Multi Camera Surveillance System ". I've started the project with object tracking using gaussian mixture model and live histogram. I'm trying to incorporate these code into a GUI interface. Now I've been able to start and stop the internal webcamera.

Then I've used a 'pushbutton' as 'Track' which tracks the object. The problem arises here. I'm using Computer vision inbuilt functions for object tracking. So, when I paste the same code into my 'pushbutton_callback' function, I get a error.

The same happens when I try to see live histogram on GUI....Can you please help me?
The function below is for Object tracking...

function track_Callback(hObject, eventdata, handles)
% hObject handle to track (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)


if strcmp(get(handles.track,'String'),'Track')
    set(handles.track,'String','Stop Tracking');
    trigger(handles.video);
    
    %object tracking using gaussina mixture model
    hcsc = hObject;
    
    hof = vision.ForegroundDetector(...
        'NumTrainingFrames', 5, ... % only 5 because of short video
        'InitialVariance', (30/255)^2); % initial standard deviation of 30/255
    
    hblob = vision.BlobAnalysis( ...
                    'CentroidOutputPort', false, ...
                    'AreaOutputPort', true, ...
                    'BoundingBoxOutputPort', true, ...
                    'OutputDataType', 'single', ...
                    'NumBlobsOutputPort', false, ...
                    'MinimumBlobAreaSource', 'Property', ...
                    'MinimumBlobArea', 250, ...
                    'MaximumBlobAreaSource', 'Property', ...
                    'MaximumBlobArea', 3600, ...
                    'FillValues', -1, ...
                    'MaximumCount', 80);
                
    hshapeins1 = vision.ShapeInserter( ...
            'BorderColor', 'Custom', ...
            'CustomBorderColor', [0 255 0]);
    hshapeins2 = vision.ShapeInserter( ...
            'Shape','Lines', ...
            'BorderColor', 'Custom', ...
            'CustomBorderColor', [255 255 0])
        
    htextins = vision.TextInserter( ...
        'Text', 'Tracking in progress...', ...
        'Location', [10 10], ...
        'Color', [255 0 0], ...
        'FontSize', 12);
    
    sz = get(0,'ScreenSize');
    pos = [20 sz(4)-300 200 200];
    hVideoOrig = vision.VideoPlayer('Name', 'Original', 'Position', pos);
    pos(1) = pos(1)+220; % move the next viewer to the right
    hVideoFg = vision.VideoPlayer('Name', 'Foreground', 'Position', pos);
    pos(1) = pos(1)+220;
    hVideoRes = vision.VideoPlayer('Name', 'Results', 'Position', pos);

    line_row = 22; % Define region of interest (ROI)

    while ~isDone(hcsc)
    y=step(hcsc);% Read input video frame
    image = step(hcsc); % for display purposes
    % Remove the effect of sudden intensity changes due to camera's
    % auto white balancing algorithm.
    y = im2single(y);
    y = y-mean(y(:));
    fg_image = step(hof, y); % Foreground

    % Estimate the area and bounding box of the blobs in the foreground image.
    [area, bbox] = step(hblob, fg_image);
    Idx = bbox(1,:) > line_row; % Select boxes which are in the ROI.

    % Based on dimensions, exclude objects which are not cars. When the
    % ratio between the area of the blob and the area of the bounding box
    % is above 0.4 (40%) classify it as a car.
    ratio = zeros(1, length(Idx));
    ratio(Idx) = single(area(1,Idx))./single(bbox(3,Idx).*bbox(4,Idx));
    ratiob = ratio > 0.4;
    count = int32(sum(ratiob));% Number of cars
    bbox(:, ~ratiob) = int32(-1);

    % Draw bounding rectangles around the detected cars.
    y2x = step(hshapeins1, image, bbox);
    
    % Display the number of cars tracked and a white line showing the ROI.
    y2(22:23,:,:) = 255;% White line
    y2(1:15,1:30,:) = 0;% Black background for displaying count
    image_out = step(htextins, y2,count);

    step(hVideoOrig, image);% Original video
    step(hVideoFg, fg_image);% Foreground
    step(hVideoRes, image_out);% Bounding boxes around cars
    end

    % Close the video file
    release(hcsc);
    
else
    stop(handles.video);
    disp('Tracked');
    
    start(handles.video); % Restart the camera
    set(handles.track,'String','Track');
end

ERROR=>Undefined function or method 'isDone' for input arguments of type 'double'.