Classify blobs vs clutter based on motion
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Hi Folks,
I am looking to classify blobs representing objects of 'interest'. I would like to detect these objects of interest. These objects are in very regular motion. However they are mixed up with rest of the clutter blobs in the image. I would like to classify all blobs in two categories a) objects of interest b) clutter. They clutter, does not undergo motion like that of objects which I would like to detect. Please look at the attached image.
Is there a way I can take all potential blobs in the image and curve fit them - blobs with close to least error from the curve would be objects of my interest ? What type of curve(s) can I fit ? How do I go about fitting the curve ? Should I just put centroids of all blobs in an array and pass that to fitobject = fit(x,y,fitType) ? How would I classify object ? After curve fit ?
回答(3 个)
Image Analyst
2016-5-11
0 个投票
Use optical flow, in the computer Vision System Toolbox.
2 个评论
Ankit Chourasia
2016-5-11
Image Analyst
2016-5-12
Sorry - I don't have that toolbox. You'll just have to look at their examples.
Those people have written far more lines on it than I ever could.
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