@Namespace(value="cv") @Properties(inherit=opencv_video.class) public class BackgroundSubtractor extends Algorithm
/** \brief Base class for background/foreground segmentation. :
The class is only used to define the common interface for the whole family of background/foreground segmentation algorithms.
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter| Constructor and Description |
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BackgroundSubtractor(Pointer p)
Pointer cast constructor.
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| Modifier and Type | Method and Description |
|---|---|
void |
apply(GpuMat image,
GpuMat fgmask) |
void |
apply(GpuMat image,
GpuMat fgmask,
double learningRate) |
void |
apply(Mat image,
Mat fgmask) |
void |
apply(Mat image,
Mat fgmask,
double learningRate)
\brief Computes a foreground mask.
|
void |
apply(UMat image,
UMat fgmask) |
void |
apply(UMat image,
UMat fgmask,
double learningRate) |
void |
getBackgroundImage(GpuMat backgroundImage) |
void |
getBackgroundImage(Mat backgroundImage)
\brief Computes a background image.
|
void |
getBackgroundImage(UMat backgroundImage) |
clear, empty, getDefaultName, position, read, save, save, write, write, writeaddress, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic BackgroundSubtractor(Pointer p)
Pointer.Pointer(Pointer).public void apply(@ByVal Mat image, @ByVal Mat fgmask, double learningRate)
image - Next video frame.fgmask - The output foreground mask as an 8-bit binary image.learningRate - The value between 0 and 1 that indicates how fast the background model is
learnt. Negative parameter value makes the algorithm to use some automatically chosen learning
rate. 0 means that the background model is not updated at all, 1 means that the background model
is completely reinitialized from the last frame.public void getBackgroundImage(@ByVal Mat backgroundImage)
backgroundImage - The output background image.
\note Sometimes the background image can be very blurry, as it contain the average background statistics.
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