On May 1, 3:42 pm, "Diez B. Roggisch" <[EMAIL PROTECTED]> wrote: > With that, you can approach your problem. What is usually done is that a > sequence of background images is sampled & an average is built. Then the > actual image is subtracted from that image, with an epsilon to account > for noise.
Thanks for the tip for an algorithm - I can see how that could work really nicely (and it gives me some ideas for other things, too!) Thanks also for the link to the OpenCV bindings. I'll give 'em a try and see what happens. Regards, Matthew. -- http://mail.python.org/mailman/listinfo/python-list
