bgConical Class Reference

Implements a single Gaussian background model with conical error. More...

Inheritance diagram for bgConical:

Collaboration diagram for bgConical:

Public Member Functions
def	__init__ (self, bgCfg=None, processor=None, bgMod=None)
	Constructor for single Gaussian model conical background detector. More...
def	adapt (self)
	Update the Gaussian model based on recent measurement. More...
def	info (self)
	Provide information about the current class implementation. More...
def	measure (self, I)
	Takes image and generates the detection result. More...
def	saveTo (self, fPtr)
	Empty method for saving internal information to HDF5 file. More...
Public Member Functions inherited from bgImage
def	__init__ (self, processor=None)
Public Member Functions inherited from Base
def	__init__ (self)
	Instantiate a detector Base activity class object. More...
def	correct (self)
	Reconcile prediction and measurement as fitting. More...
def	detect (self, signal)
	Run detection only processing pipeline (no adaptation). More...
def	emptyDebug (self)
	Return empty debug state information. More...
def	emptyState (self)
	Return empty state. More...
def	getDebug (self)
	Return current/latest debug state information. More...
def	getState (self)
	Return current/latest state. More...
def	predict (self)
	Predict next state from current state. More...
def	process (self, signal)
	Process the new incoming signal on full detection pipeline. More...
def	save (self, fileName)
	Outer method for saving to a file given as a string. More...

Static Public Member Functions
def	buildAndCalibrateFromConfigRGBD (theConfig, theProcessor, theStream, incVis=False)
def	load (fileName)
def	loadFrom (fPtr)
	Empty method for loading internal information from HDF5 file. More...
Static Public Member Functions inherited from Base
def	load (fileName, relpath=None)
	Outer method for loading file given as a string (with path). More...

Public Attributes
	bgI
	config
	errI
	improcessor
	imsize
	maxE
	measI
	mu
	nrmE
	sigma
	sqeI
Public Attributes inherited from inImage
	Ip
	processor
Public Attributes inherited from Base
	x
	Detection state. More...

Detailed Description

Implements a single Gaussian background model with conical error.

The conical error assumes that the error statistics in the direction of the color as less sensitive versus error statistics orthogonal to the direction. Variance statistics operate in this space. They will be a bit off during training, but should converge if left long enough.

Inputs: mu - the means of the Gaussian models. sigma - the variance of the Gaussian models (tangent, then normal). will be one dimension up due to coordinate preserving projection. parms - [optional] configuration instance with parameters specified.

Fields of the parms structure: sigma - Initial variance to use if sigma is empty. thresh - Threshold for determining foreground. alpha - Update rate for mean and variance.

Note

A note on the improcessor. If the basic version is used, then it performs pre-processing. If a triple version is used, then the mid-processor will perform operations on the detected part rather than the default operations. The mid-processor can be used to test out different options for cleaning up the binary data.

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			bgCfg = None,
			processor = None,
			bgMod = None
	)

Constructor for single Gaussian model conical background detector.

Parameters

[in]	bgMod	The model or parameters for the detector.
[in]	bgCfg	The model or parameters for the detector.

Member Function Documentation

adapt()

def adapt

(

self

)

Update the Gaussian model based on recent measurement.

In this case, the mean and the variance are updated. Depending on the run-time options, all means/variances will be updated or only those classified as background. The latter avoids adapting to foreground elements while still permitting slow change of the background model.

Usually, during the model estimation phase (assuming an empty scene with background elements only) adaptation of all pixels should occur. During deployment, if adaptation is to be performed, then it is usually best to not apply model updating to foreground elements, which are interpreted as fast change elements of the scene.

Reimplemented from Base.

buildAndCalibrateFromConfigRGBD()

def buildAndCalibrateFromConfigRGBD (   theConfig,   theProcessor,   theStream,   incVis = False  )

static

info()

def info

(

self

)

Provide information about the current class implementation.

Exists for reproducibility purposes. Usually stores the factory information used to build the current class instance.

Reimplemented from inImage.

load()

def load (   fileName )

static

loadFrom()

def loadFrom (   fPtr )

static

Empty method for loading internal information from HDF5 file.

Load data from given HDF5 pointer. Assumes in root from current file pointer location.

Reimplemented from Base.

measure()

def measure	(		self,
			I
	)

Takes image and generates the detection result.

Parameters

[in]

I

Image to process.

Reimplemented from inImage.

saveTo()

def saveTo	(		self,
			fPtr
	)

Empty method for saving internal information to HDF5 file.

Save data to given HDF5 pointer. Puts in root.

Reimplemented from Base.

Member Data Documentation

bgI

bgI

config

config

errI

errI

improcessor

improcessor

imsize

imsize

maxE

maxE

measI

measI

mu

mu

nrmE

nrmE

sigma

sigma

sqeI

sqeI

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

• /home/pvela/python/detector/detector/bgmodel/Gaussian.py