I am getting an error in abandoned object detection code , please sir how can i solve it the error is- Undefined function 'viplibgetdemodata' for input arguments of type 'char'. Error in Abandoned (line 23) status = viplibgetd​emodata('v​iptrain.av​i')

%%Abandoned Object Detection
% This demo tracks objects at a train station and determines which ones
% remain stationary. Abandoned objects in public areas concern authorities
% since they might pose a security risk. Algorithms, such as the one used
% in this demo, can be used to assist security officers monitoring live
% surveillance video by directing their attention to a potential area of
% interest.

%%Introduction
% This demo illustrates how to use the BlobAnalysis component to identify
% objects and track them. The demo implements this algorithm using the
% following steps:

• Eliminate video areas that are unlikely to contain abandoned objects by extracting a region of interest (ROI).
• Perform video segmentation using background subtraction.
• Calculate object statistics using the BlobAnalysis component.
• Track objects based on their area and centroid statistics.
• Visualize the results.

status = viplibgetdemodata('viptrain.mp4');
if ~status
    displayEndOfDemoMessage(mfilename);
    return;
end

%%Initialization
% Use these next sections of code to initialize the required variables and
% components.
%
% Rectangular ROI [Row coordinate of top-left corner, column coordinate of
% top-left corner, height, width]
roi = [80 100 240 360];
% Maximum number of objects to track
maxNumObj = 200;
% Number of frames that an object must remain stationary before an alarm is
% raised
alarmCount = 45;
% Maximum number of frames that an abandoned object can be hidden before it
% is no longer tracked
maxConsecutiveMiss = 4;
% Maximum allowable change in object area in percent
areaChangeFraction = 15;
% Maximum allowable change in object centroid in percent
centroidChangeFraction = 20;
% Minimum ratio between the number of frames in which an object is detected
% and the total number of frames, for that object to be tracked.
minPersistenceRatio = 0.7;
% Offsets for drawing bounding boxes in original input video
PtsOffset = int32(repmat([roi(1); roi(2); 0 ; 0],[1 maxNumObj]));

Create a FromMultimediaFile component to read video from a file.

hVideoSrc = viplib.MultimediaFileReader;
hVideoSrc.FileName = 'viptrain.mp4';
hVideoSrc.VideoOutputMode = 'single';

Create a ColorSpaceConversion component to convert the RGB image to Y'CbCr format.

hColorConv = viplib.ColorSpaceConverter;
hColorConv.Conversion = 'R''G''B'' to Y''CbCr';

Create an AutoThreshold component to convert an intensity image to a binary image.

hAutothreshold = viplib.Autothresholder;
hAutothreshold.ScaleThresholdOption = ... 'Specify threshold scale factor via property';
hAutothreshold.ThresholdScaleFactor == 1.3;

Create a Closing component to fill in small gaps in the detected objects.

hClosing = viplib.MorphologicalClose;
hClosing.NeighborhoodOrStrel = strel('square',5);

Create a BlobAnalysis component to find the area, centroid, and bounding box of the objects in the video.

hBlob = viplib.BlobAnalysis;
hBlob.MaxNumBlobs = maxNumObj;
hBlob.ReturnNumBlobs = true;
hBlob.MinBlobAreaProperty = true;
hBlob.MinBlobArea = 100;
hBlob.MaxBlobAreaProperty = true;
hBlob.MaxBlobArea = 2500;
hBlob.ExcludeBorderBlobs = true;

Create a DrawShapes component to draw rectangles around the abandoned objects.

hDrawRectangles1 = viplib.ShapeInserter;
hDrawRectangles1.FillShapes = true;
hDrawRectangles1.FillValueOption = 'Specify via property';
hDrawRectangles1.Value = [1 0 0];
hDrawRectangles1.Opacity = 0.5;

Create an InsertText component to display the number of objects in the video.

hDisplayCount = viplib.TextInserter;
hDisplayCount.Text = '%4d';
hDisplayCount.ColorValue = [1 1 1];
hDisplayCount.Font = 'LucidaTypewriterRegular';

Create a movie player component to display the video with the abandoned objects highlighted.

hAbandonedObjects = viplib.VideoPlayer;
hAbandonedObjects.WindowCaption = 'Abandoned Objects';
hAbandonedObjects.WindowPosition = [10 300 roi(4)+25 roi(3)+25];

Create a DrawShapes component to draw rectangles around all the detected objects in the video.

hDrawRectangles2 = viplib.ShapeInserter;
hDrawRectangles2.BorderValueOption = 'Specify via property';
hDrawRectangles2.Value = [0 1 0];

Create a DrawShapes component to draw a rectangle around the region of interest.

hDrawBBox = viplib.ShapeInserter;
hDrawBBox.BorderValueOption = 'Specify via property';
hDrawBBox.Value = [1 1 0];

Create a movie player component to display the video with all the identified objects highlighted.

hAllObjects = viplib.VideoPlayer;
hAllObjects.WindowPosition = [45+roi(4) 300 roi(4)+25 roi(3)+25];
hAllObjects.WindowCaption = 'All Objects';

Create a DrawShapes component to draw rectangles around all the identified objects in the segmented video.

hDrawRectangles3 = viplib.ShapeInserter;
hDrawRectangles3.BorderValueOption = 'Specify via property';
hDrawRectangles3.Value = [0 1 0];

Create a movie player component to display the segmented video.

hThresholdDisplay = viplib.VideoPlayer;
hThresholdDisplay.WindowPosition = ...
            [80+2*roi(4) 300 roi(4)-roi(2)+25 roi(3)-roi(1)+25];
hThresholdDisplay.WindowCaption = 'Threshold';

%%Stream processing loop
% Create a processing loop to perform abandoned object detection on the input
% video. This loop uses the components you instantiated above.
firsttime = true;
while ~isDone(hVideoSrc)
    Im = run(hVideoSrc);

      % Select the region of interest from the original video
      OutIm = Im(roi(1):end, roi(2):end, :);

      YCbCr = run(hColorConv, OutIm);
      CbCr  = complex(YCbCr(:,:,2), YCbCr(:,:,3));

      % Store the first video frame as the background
      if firsttime
          firsttime = false;
          BkgY      = YCbCr(:,:,1);
          BkgCbCr   = CbCr;
      end
      SegY    = run(hAutothreshold, abs(YCbCr(:,:,1)-BkgY));
      SegCbCr = abs(CbCr-BkgCbCr) > 0.05;

      % Fill in small gaps in the detected objects
      Segmented = run(hClosing, SegY | SegCbCr);

      % Perform blob analysis
      [Area, Centroid, BBox, Count] = run(hBlob, Segmented);

      % Call the helper function that tracks the identified objects and
      % returns the bounding boxes and the number of the abandoned objects.
      [OutCount, OutBBox] = viplibobjtracker(Area, Centroid, BBox, Count,...
         areaChangeFraction, centroidChangeFraction, maxConsecutiveMiss, ...
         minPersistenceRatio, alarmCount);

      % Display the abandoned object detection results
      Imr = run(hDrawRectangles1, Im, OutBBox+PtsOffset);
      Imr(1:15,1:30,:) = 0;
      Imr = run(hDisplayCount, Imr, OutCount);
      run(hAbandonedObjects, Imr);

      % Display all the detected objects
      Imr = run(hDrawRectangles2, Im, BBox+PtsOffset);
      Imr(1:15,1:30) = 0;
      Imr = run(hDisplayCount, Imr, OutCount);
      Imr = run(hDrawBBox, Imr, roi);
      run(hAllObjects, Imr);

      % Display the segmented video
      SegIm = run(hDrawRectangles3, repmat(Segmented,[1 1 3]), BBox);
      run(hThresholdDisplay, SegIm);
  end

%%Close
% Here you call the close method on the components to close any open files
% and devices.
close(hVideoSrc);

%%Summary
% In the Abandoned Objects window, you can see that the demo detected the 
% abandoned object located on the bench. It marks the location of this
% object with a red rectangle.

   %%Appendix
   % The following helper function is used in this demo.
   %
   % * <matlab:edit('viplibobjtracker.m') viplibobjtracker.m>

   displayEndOfDemoMessage(mfilename)

[Mahim Alam Khan]

@hemant vyas , have you got the solution?

Answer 1

[Walter Roberson]

This code requires a release from R14 to R2010b with Video and Image Processing Blockset. As of R2011a, that product no longer existed and the Computer Vision Toolbox was introduced that mostly used vision as a prefix instead of viplib

The line of code that is failing first, viplibgetdemodata is just checking to be sure that the file named viptrain.avi exists in the appropriate directory. That file still exists in current versions under toolbox/vision/visiondata/viptrain.avi which is on the default path, so as long as you have the computer vision toolbox installed you can use

function tf = viplibgetdemodata(varargin)
  tf = true;

That would get you past that statement, but you would then fail on the first viplib.* function reference. A number of those could be converted to vision.* function references, but some such as viplib.ShapeInserter did become vision.ShapeInserter but that function no longer exists with insertShape() [no prefix] being used instead.

[Walter Roberson]

Note that there is a current Simulink model to do abandoned object detection: https://www.mathworks.com/help/vision/examples/abandoned-object-detection.html

[hemant vyas]

still getting the same error i am using 2013 a

[Walter Roberson]

R2013a is not within the range of releases that I noted as being required.

Just comment out the call to viplibgetdemodata and the check of status immediately after that to get you past the first problem. For the other problems you will need to either update the code to use the equivalent vision calls or else you will need to install an old version of MATLAB to use the old library.

Answer 2

[Chethana Dukkipati]

I am using R2016a and I am getting error when using "viplibobjtracker". Can anyone please help me to resolve the issue?

[Walter Roberson]

If you are using a commercial / standard / professional license, or you are using an Academic license that is not restricted, then the best thing to do is to go into your Mathworks Central account and download any release in the range R14 to R2010b with Video and Image Processing Blockset, and run the code with the old release.

That would be easier than hunting through the documentation comparing the functions that were last available 8 years ago to the current functions to figure out how to rewrite the code.

You could probably hire a consultant to update the code. I do not have any interest in doing more work on this than I already have done.