tabletop_GMM Class Reference

Inheritance diagram for tabletop_GMM:

Collaboration diagram for tabletop_GMM:

Public Member Functions
None	__init__ (self, bgmodelGMM.bgmodelGMM_cv theDetector, Params_GMM params)
def	calibrate (self, I)
Public Member Functions inherited from Base_bg
def	__init__ (self, theDetector, theTracker, trackFilter, Params params)
def	det_mask (self)
Public Member Functions inherited from Base
def	__init__ (self, theDetector, theTracker, trackFilter, Params params)
def	draw_layer (self, img=None, raw_detect=False, ax=None)
def	get_mask (self)
def	get_state (self)
def	measure (self, I)
def	update_params (self, name, val)

Static Public Member Functions
def	build (bgmodelGMM.Params_cv mParams, Params_GMM() params)

Additional Inherited Members
Public Attributes inherited from Base
	layer_mask
	layer_mask_det
	layer_state
	params

Detailed Description

The background layer segmenter based on the Gaussian Mixture model(GMM)

@param[in]  theDetector         detector.bgmodel.bgmodelGMM.bgmodelGMM_cv instance. The detector based on the GMM
@param[in]  params              tabletop_seg.Params_GMM instance.
                                The parameters related to the segmenter, including the preprocessor, postprocess, etc.

Constructor & Destructor Documentation

__init__()

None __init__	(		self,
		bgmodelGMM.bgmodelGMM_cv	theDetector,
		Params_GMM	params
	)

Member Function Documentation

build()

def build ( bgmodelGMM.Params_cv  mParams, Params_GMM()  params  )

static

Build a tabletop_GMM instance

@param[in]  mParams         The model parameters related to the Gaussian Mixture Model

calibrate()

def calibrate	(		self,
			I
	)

Calibrate the GMM model parameter

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The documentation for this class was generated from the following file:

• /home/pvela/python/surveillance/Surveillance/layers/tabletop_seg.py