cv.BackgroundSubtractorMOG2

Gaussian Mixture-based Background/Foreground Segmentation Algorithm

The class implements the Gaussian mixture model background subtraction described in [Zivkovic2004] and [Zivkovic2006].

The code is very fast and performs also shadow detection. Number of Gausssian components is adapted per pixel.

The algorithm similar to the standard Stauffer&Grimson algorithm with additional selection of the number of the Gaussian components based on [Zivkovic04recursiveunsupervised].

References

[Zivkovic2004]:

Zoran Zivkovic. "Improved adaptive gaussian mixture model for background subtraction". In Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, volume 2, pages 28-31. IEEE, 2004. PDF.

[Zivkovic2006]:

Zoran Zivkovic and Ferdinand van der Heijden. "Efficient adaptive density estimation per image pixel for the task of background subtraction". Pattern recognition letters, 27(7):773-780, 2006. PDF.

[Zivkovic04recursiveunsupervised]:

Zoran Zivkovic and Ferdinand van der Heijden, "Recursive unsupervised learning of finite mixture models", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.26, no.5, pages 651-656, 2004. PDF.

[Prati03detectingmoving]:

Andrea Prati, Ivana Mikic, Mohan M. Trivedi, Rita Cucchiara. "Detecting Moving Shadows: Algorithms and Evaluation", IEEE PAMI, 2003.

Superclasses	handle
Sealed	false
Construct on load	false

BackgroundRatio	The "background ratio" parameter of the algorithm.
ComplexityReductionThreshold	The complexity reduction threshold.
DetectShadows	The shadow detection flag.
History	The number of last frames that affect the background model.
NMixtures	The number of gaussian components in the background model.
ShadowThreshold	The shadow threshold.
ShadowValue	The shadow value.
VarInit	The initial variance of gaussian components. default 15
VarMax	Maximum variance. default 5*15
VarMin	Minimmum variance. default 4
VarThreshold	The variance threshold for the pixel-model match.
VarThresholdGen	The variance threshold for the pixel-model match used for new
id	Object ID

	addlistener	Add listener for event.
	apply	Updates the background model and computes the foreground mask
	delete	Destructor
	eq	== (EQ) Test handle equality.
	findobj	Find objects matching specified conditions.
	findprop	Find property of MATLAB handle object.
	ge	>= (GE) Greater than or equal relation for handles.
	getBackgroundImage	Computes a background image
	gt	> (GT) Greater than relation for handles.
Sealed	isvalid	Test handle validity.
	le	<= (LE) Less than or equal relation for handles.
	listener	Add listener for event without binding the listener to the source object.
	lt	< (LT) Less than relation for handles.
	ne	~= (NE) Not equal relation for handles.
	notify	Notify listeners of event.