CODEWITHSUNDEEP
matlabcenterareabounding-boxmatlab-cvst
ekrem777
ekrem777

Reputation: 45

Matlab vision.blobAnalysis bbox area-center usage

I am using this code in the below.

  function videoAnalysis()
foregroundDetector = vision.ForegroundDetector('NumGaussians', 3, 'NumTrainingFrames', 50);

[filename, pathname] = uigetfile( ...
    {'*.*',  'All Files (*.*)'}, ...
    'Select a video file');

videoReader = vision.VideoFileReader(fullfile(pathname,filename));
% fRate = videoReader.info.VideoFrameRate;
% disp(fRate);

for i = 1:150
    frame = step(videoReader);
    foreground = step(foregroundDetector, frame);
end
se = strel('square', 3);
filteredForeground = imopen(foreground, se);

blobAnalysis = vision.BlobAnalysis('BoundingBoxOutputPort', true, ...
    'AreaOutputPort', false, 'CentroidOutputPort', false, ...
    'MinimumBlobArea', 350 , 'MaximumBlobArea', 15000, ...
    'MajorAxisLengthOutputPort' , true, 'MaximumCount', 5);

bbox = step(blobAnalysis, filteredForeground);

result = insertShape(frame, 'Rectangle', bbox, 'Color', 'green');

numCars = size(bbox, 1);
result = insertText(result, [10 10], numCars, 'BoxOpacity', 1, 'FontSize', 14);

videoPlayer = vision.VideoPlayer('Name', 'Detected Cars');

videoPlayer.Position(3:4) = [650,400];  % window size: [width, height]
% se = strel('square', 3); % morphological filter for noise removal

i = 0;
while ~isDone(videoReader)
%     if ( mode(i,10) == 0 )
%         disp(i);
%     end
%     i = i + 1;
    frame = step(videoReader); % read the next video frame

    % Detect the foreground in the current video frame
    foreground = step(foregroundDetector, frame);

    % Use morphological opening to remove noise in the foreground
    filteredForeground = imopen(foreground, se);

    % Detect the connected components with the specified minimum area, and
    % compute their bounding boxes
    bbox = step(blobAnalysis, filteredForeground);

    % Draw bounding boxes around the detected cars
    result = insertShape(frame, 'Rectangle', bbox, 'Color', 'blue');
%     imshow(result);
%     

    % Display the number of cars found in the video frame
    numCars = size(bbox, 1);
    result = insertText(result, [10 10], numCars, 'BoxOpacity', 1, 'FontSize', 14);

    %if there is moving object
    if numCars == 0
        result = insertText(result, [100 20], 'You can pass now', 'BoxOpacity', 1, 'FontSize', 14, 'BoxColor', 'green');
    else
        result = insertText(result, [100 20], 'Please wait', 'BoxOpacity', 1, 'FontSize', 14, 'BoxColor', 'red');
    end

    step(videoPlayer, result);  % display
end

release(videoReader); % close

end

Basically code looks for a video and detects the moving object between video frames and draw bounding boxes around changed pixels. I need these bounding boxes' center and area informations. To do that I assume I have to change AreaOutputPort and CentroidOutputPort parameters in blobAnalysis to TRUE. But if I do that Matlab gives error: The POSITION matrix must have four columns for shape Rectangle. How can I obtain these values?

Thank you.

Upvotes: 1

Views: 2771

Answers (2)

ekrem777
ekrem777

Reputation: 45

I have found a new way to calculate area and centroid: 

for i=1:size(bbox, 1)
    centroid(i,:) = [ bbox(i,1)+bbox(i,3)/2 ; bbox(i,2)+bbox(i,4)/2 ];
    area(i,1) =  bbox(i,3)*bbox(i,4);
end

Upvotes: 0

Dima
Dima

Reputation: 39389

If you set AreaOutputPort and CentroidOutputPort to true, you will get three outputs instead of one.

Instead of 

bbox = step(blobAnalysis, filteredForeground);

use

[areas, centroids, bbox] = step(blobAnalysis, filteredForeground);

The way you currently have it bbox ends up being a 1-D array containing the areas, which is why insertShape throws the error.

Upvotes: 1

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