How do I run the mentioned abandoned object detection code provided as example model in a .m file?

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Mahim Alam Khan
Mahim Alam Khan 2017-12-27
回答： Mahim Alam Khan 2018-3-20
%%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.avi');
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.avi';
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)
Please help me out..!! I am getting errors while running the above toolbox example script from matlab. Maybe I need to do something else rather than pasting whole script and then running it. Maybe I need to do something else with this line in code- "Create a FromMultimediaFile component to read video from a file."

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回答（4 个）

hemant vyas
hemant vyas 2018-1-5
the error in this this code is "Undefined function 'viplibgetdemodata' for input arguments of type 'char'.
Error in Abandoned (line 23) status = viplibgetdemodata('viptrain.mp4');"Now can anyone help me to solve this error.
  2 个评论
Dhaarani Singaravelu
Dhaarani Singaravelu 2018-1-5
the error in this this code is "Undefined function 'viplibgetdemodata' for input arguments of type 'char'.
Error in Abandoned (line 23) status = viplibgetdemodata('viptrain.mp4');"Now can anyone help me to solve this error.
How to solve this error??

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Walter Roberson
Walter Roberson 2018-1-30
Add a file viplibgetdemodata.m with content
function foundit = viplibgetdemodata(filename)
foundit = true;
This will get you past this first problem.
hemant vyas
hemant vyas 2018-3-20
sir i am getting same error till now can you please provide me the correct code for abandoned object detection
  1 个评论
Walter Roberson
Walter Roberson 2018-3-20
That code dates from about 2006 and relies upon a number of routines that have changed a fair bit in MATLAB. It is unlikely that anyone will volunteer to rewrite the code. You should write your own code or use an old version of MATLAB.

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Mahim Alam Khan
Mahim Alam Khan 2018-3-20
@Hemant Vyas reach me out at 9khanmahim@gmail.com

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