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Expand Up @@ -31,7 +31,7 @@ In the following, we will have a look at two algorithms from the `bgsegm` module

It is a Gaussian Mixture-based Background/Foreground Segmentation Algorithm. It was introduced in
the paper "An improved adaptive background mixture model for real-time tracking with shadow
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the paper "An Improved Adaptive Background Mixture Model for Realtime Tracking with Shadow
Detection" by P. KaewTraKulPong and R. Bowden in 2002. It uses a method to model each background

detection" by P. KadewTraKuPong and R. Bowden in 2001. It uses a method to model each background
detection" by P. KaewTraKulPong and R. Bowden in 2001. It uses a method to model each background
pixel by a mixture of K Gaussian distributions (K = 3 to 5). The weights of the mixture represent
the time proportions that those colours stay in the scene. The probable background colours are the
ones which stay longer and more static.
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