So I know there are a few parameters that I can set and I am not really sure about the nmixtures, backgroundRatio and noseSigma
Python: cv2.createBackgroundSubtractorMOG([history[, nmixtures[, backgroundRatio[, noiseSigma]]]]) → retval
Parameters:
history – Length of the history.
nmixtures – Number of Gaussian mixtures.
backgroundRatio – Background ratio.
noiseSigma – Noise strength (standard deviation of the brightness or each color channel). 0 means some automatic value.
I looked to find a good explanation on how to properly adjust these parameters but I didn't find anything. Can someone suggest a proper way to adjust these based on data?
Well, I don't think anyone could tell you which parameter is what if you don't know the details of the algorithm that you are using.
Please see this answer, which is given to the exact same question.