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?
2 次查看(过去 30 天)
显示 更早的评论
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);
0 个评论
回答(2 个)
Sammit Jain
2017-12-27
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
2017-12-27
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 个评论
Image Analyst
2017-12-27
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.
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Computer Vision with Simulink 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!