how can i apply(vision.ForegroundDetector to obtain a foreground model at each input frame of video?
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i want to model a background at each input frame of video, i don't know how to do it,any idea please?
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Image Analyst
on 29 Nov 2015
I believe Gaussian Mixture Models are usually/often used for background estimation in many videos. Sorry I don't have any demo code for you but look up examples in the Computer Vision System Toolbox.
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Dima Lisin
on 30 Nov 2015
The step() method of vision.ForegroundDetector takes the video frame and returns the foreground mask, which is a binary image where foreground pixels have the value of 1, and background pixels have the value of 0. See the example on vision.ForegroundDetector doc page.
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