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Subject: Re: Motion estimation vs. background subtraction
Date: Thu, 13 Mar 2008 12:44:02 +0000 (UTC)
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Thanks for the reply!

I have normalized the rgb like this:
Rn = R(x,y) / sum(R(x,y)) G(x,y)) B(x,y));

where Rn is the normalized value for Red, two similar 
operation for Green and Blue.


I plan to just extract the first 10 frames and calculate 
the mean pixel value from these frames, and create a new 
image for which will be set as background. Is this good 
enough? What do you use the std. deviation for in this case?

You say I should choose a confidence level, for example 
three times larger than sigma. Is the sigma the same as  
the absolute difference between to pixels?


Thanks, Helmer.