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| def | __init__ (self, K, **kwargs) |
| |
| def | adapt (self) |
| |
| def | compProbs (self) |
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| def | correct (self, fg) |
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| def | detectFG (self) |
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| def | get (self, fname) |
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| def | getForeground (self) |
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| def | getProbs (self) |
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| def | getstate (self) |
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| def | measure (self, I) |
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| def | process (self, img) |
| | Process the new incoming signal on full detection pipeline. More...
|
| |
| def | set (self, fname, fval) |
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| def | __init__ (self, processor=None) |
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| def | info (self) |
| | Provide information about the current class implementation. More...
|
| |
| def | __init__ (self) |
| | Instantiate a detector Base activity class object. More...
|
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| def | correct (self) |
| | Reconcile prediction and measurement as fitting. More...
|
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| def | detect (self, signal) |
| | Run detection only processing pipeline (no adaptation). More...
|
| |
| def | emptyDebug (self) |
| | Return empty debug state information. More...
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| |
| 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 | save (self, fileName) |
| | Outer method for saving to a file given as a string. More...
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| |
| def | saveTo (self, fPtr) |
| | Empty method for saving internal information to HDF5 file. More...
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| |
@ingroup Detector_BGModel
@brief Gaussian mixture background model.
Implements a background modeling foreground detector using a Gaussian
mixture model. This model involves two parts, one is an estimator,
and the other is a change detector. The estimator is a static
prediction observer on the mean and variance with fixed udpate gains.
The change detector is threshold-based. Estimate corrections rely
on the change detector.
Inputs:
mu - the means of the Gaussian models.
sigma - the variance of the Gaussian models.
weights - the weights of the Gaussian models.
parms - [optional] structure 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.
rho - Update rate for weights.
cnctd_thrsh - Connected component threshold size for false blob removal.
se3 - structuring element for morphological operations.
improcessor - Image processor interface object for performing
pre-, mid-, and post-processing of signal.
@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.
@note Not implemented at all. Translation of ivaMatlib/bgmodelGMM
Public Member Functions inherited from bgImage