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A common method for real-time segmentation of
moving regions in image sequences involves “background
subtraction,” or thresholding the error between
an estimate of the image without moving objects and
the current image. The numerous approache
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background subtraction using g-background subtraction using gmm
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Background Subtraction using Adaptive Gaussian Mixture Model
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My implementation of Stauffer & Grimson's GMM(Background subtraction
Drawbacks of Stauffer & Grimson's GMM
Since its pixel based model fitting,
a) lots of unwanted small blobs are scattered all over the frame. e.g. UCSD demo
b) main blobs
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background subtraction using kmeans and gmm
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