what means this error , while trying to use vision.blobAnalysis to detect motions?

Question

syhem samti 2015-11-21

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/256776-what-means-this-error-while-trying-to-use-vision-blobanalysis-to-detect-motions

评论： NIHARIKA MITTAL 2017-11-12

Error using coder.internal.errorIf (line 8)
The POSITION matrix must have four columns for shape Rectangle
Error in insertShape>errIf1 (line 796)
coder.internal.errorIf(condition, msgID, strArg);
Error in insertShape>crossCheckShapePosition (line 347)
     errIf1(errCond, 'vision:insertShape:posColsNot4ForRect', shape);
Error in insertShape>crossCheckInputs (line 317)
crossCheckShapePosition(shape, position);
Error in insertShape>validateAndParseInputs (line 176)
    crossCheckInputs(shape2, position, color);
Error in insertShape (line 103)
    validateAndParseInputs(I, shape, position, varargin{:});
Error in btw (line 134)
result = insertShape(frame, 'Rectangle', bbox, 'Color', 'green');

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Answer 1

Walter Roberson 2015-11-22

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https://ww2.mathworks.cn/matlabcentral/answers/256776-what-means-this-error-while-trying-to-use-vision-blobanalysis-to-detect-motions#answer_200760

Check size(bbox) . The bbox that you are passing in must have 4 columns, such as a row vector of 4 elements.

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syhem samti 2015-11-23

编辑：syhem samti 2015-11-24

在 MATLAB Online 中打开

here the code is:

      function videoAnalysis()
  clear all;
  close all;
  clc;
  foregroundDetector = vision.ForegroundDetector('NumGaussians', 3, 'NumTrainingFrames', 50);
videoReader = vision.VideoFileReader('video6.avi');
% fRate = videoReader.info.VideoFrameRate;
% disp(fRate);
for i = 1:50
    frame = step(videoReader);
    foreground = step(foregroundDetector, frame);
end
imwrite(foreground,'foreground1.jpg')
BW = imread('foreground1.jpg');
%Calculate the perimeters of objects in the image.
BWs = bwperim(BW,8);
%Display the original image and the perimeters side-by-side.
%imshowpair(BW,BWs,'montage')
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
se90 = strel('line', 3, 90);
se0 = strel('line', 3, 0);
%The binary gradient mask is dilated using the vertical structuring element followed by the horizontal structuring element. The imdilate function dilates the image.
BWsdil = imdilate(BWs, [se90 se0]);
%figure, imshow(BWsdil), title('dilated gradient mask');
BWdfill = imfill(BWsdil, 'holes');
% figure, imshow(BWdfill);
% title('binary image with filled holes');
BWnobord = imclearborder(BWdfill, 4);
%figure, imshow(BWnobord), title('cleared border image');
seD = strel('diamond',9);
BWfinal = imerode(BWnobord,seD);
BWfinal = imerode(BWfinal,seD);
%figure, imshow(BWfinal), title('segmented image');
BWoutline = bwperim(BWfinal);
Segout = BW;
Segout(BWoutline) = 255;
%figure, imshow(Segout), title('outlined original image');
se = strel('square', 3);
fF = imopen(Segout, se)
se1 = strel('square', 5);%masque
ForF = imdilate(fF, se1);
%figure; imshow(ForF); title('finaal foreground ')
L = bwlabel(ForF);% connected component (seulement sur les images binaires
s = regionprops(L, 'Area');
s(1)
area_values = [s.Area]
idx3 = find((5500 <= area_values) & (area_values <= 1900000))
bw3 = ismember(L, idx3);
figure, imshow(bw3);title(' finaal foreground ')
se = strel('square', 3);
filteredForeground = imdilate(bw3, se)
figure, imshow(filteredForeground); 
title('Fforeground')

blobAnalysis = vision.BlobAnalysis('BoundingBoxOutputPort', true, ...
    'AreaOutputPort', false, 'CentroidOutputPort', false, ...
    'MinimumBlobArea', 350 , 'MaximumBlobArea', 15000, ...
    'MajorAxisLengthOutputPort' , true, 'MaximumCount', 5);
[centroid, bbox] = step(blobAnalysis, filteredForeground)
result = insertShape(frame, 'Rectangle', bbox, 'Color', 'green');
numPerso = size(bbox, 1);
result = insertText(result, [10 10], numPerso, '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);
  %%by me
se = strel('square', 3);
filteredForeground = imdilate(bw3, se)
%figure, imshow(filteredForeground); 
%title('Fforeground')
      % Detect the connected components with the specified minimum area, and
      % compute their bounding boxes
      % 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], numPerso, 'BoxOpacity', 1, 'FontSize', 14);
      %if there is moving object
      if numPerso == 0
          result = insertText(result, [100 20], 'non motion detected', 'BoxOpacity', 1, 'FontSize', 14, 'BoxColor', 'green');
      else
          result = insertText(result, [100 20], 'motion detected', 'BoxOpacity', 1, 'FontSize', 14, 'BoxColor', 'red');
      end
      step(videoPlayer, result);  % display
  end
release(videoReader); % close
  end