I am using this code for detecting abandoned objects in a video sequence but in image subtraction module the code detects the object initially and then stops detecting it once it stays in for a couple of frames?
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foregroundDetector = vision.ForegroundDetector('NumGaussians', 3,'NumTrainingFrames',400);
videoReader = vision.VideoFileReader('C:\Users\Mahim Alam Khan\Documents\MATLAB\GMM #1\AOB.mp4');
se = strel('octagon', 6);
for i = 1:400;
frame = step(videoReader);
foreground = step(foregroundDetector, frame);
end
filteredForeground = imclose(foreground, se);
filteredForeground = imopen(foreground, se);
blobAnalysis = vision.BlobAnalysis('BoundingBoxOutputPort', true,'AreaOutputPort', false, 'CentroidOutputPort', false,'MinimumBlobArea', 10);
% bbox = step(blobAnalysis, filteredForeground);
% result = insertShape(frame, 'Rectangle', bbox, 'Color', 'green');
videoPlayer=vision.DeployableVideoPlayer(10);
videoPlayer.Size='Custom';
videoPlayer.CustomSize=[650 400];
videoPlayer=vision.VideoPlayer('Position', [740, 200, 700, 400]);
videoPlayer1=vision.DeployableVideoPlayer(10);
videoPlayer1.Size='Custom';
videoPlayer1.CustomSize=[650 400];
videoPlayer1 = vision.VideoPlayer('Position', [20, 200, 700, 400]);
se = strel('octagon', 6);
while ~isDone(videoReader)
frame = step(videoReader);
foreground = step(foregroundDetector, frame);
filteredForeground = imopen(foreground, se);
bbox = step(blobAnalysis, filteredForeground);
result = insertShape(frame, 'Rectangle', bbox, 'Color', 'green');
step(videoPlayer, result);
step(videoPlayer1, filteredForeground);
end
release(videoReader);
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Réponses (2)
Sammit Jain
le 27 Déc 2017
I think this is happening possibly because the image subtraction method you're using constantly updates the background too, which is why a moving object is detected, and not stationery ones (because a stationery one becomes a part of the scene in a later frame).
See if you can fix the background frame (that is, not update it) and it should work just fine.
All the best!
Image Analyst
le 27 Déc 2017
You have to define how long a stationery part of the image can be in there before it's considered permanent. After all, if it's there long enough, how are we to know it's not just part of the furniture?
4 commentaires
Image Analyst
le 27 Déc 2017
Try adjusting NumTrainingFrames. And you might have to generate a new foregroundDetector periodically at the longer elapsed time period that you want, like every 5 minutes or so.
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