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> It is also a Gaussian Mixture-based Background/Foreground Segmentation Algorithm. It is based on two papers by Z.Zivkovic, "Improved adaptive Gausian mixture model for background subtraction" in 2004 and "Efficient Adaptive Density Estimation per Image Pixel for the Task of Background Subtraction" in 2006. One important feature of this algorithm is that it selects the appropriate number of gaussian distribution for each pixel. (Remember, in last case, we took a K gaussian distributions throughout the algorithm). It provides better adaptibility to varying scenes due illumination changes etc.
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----
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> ボールトラッキングをやっており、精度を上げるためにボールにつく影部分を除去したい
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目的から推測するに「ボールの陰(shade)」でしょうか?影(shadow)と陰(shade)は対象が異なるため、おそらく上記アルゴリズムは役に立たないと思います。
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一応、OpenCVでも [影(shadow)検出アルゴリズム](http://docs.opencv.org/3.1.0/db/d5c/tutorial_py_bg_subtraction.html) `
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一応、OpenCVでも [影(shadow)検出アルゴリズム](http://docs.opencv.org/3.1.0/db/d5c/tutorial_py_bg_subtraction.html) `BackgroundSubtractorMOG2` が提供されます。(今回の例に適用できるか否かは、その要件によるかもしれません)
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