@Namespace(value="cv") public static class opencv_video.BackgroundSubtractor extends opencv_core.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.
| Constructor and Description |
|---|
BackgroundSubtractor(org.bytedeco.javacpp.Pointer p)
Pointer cast constructor.
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| Modifier and Type | Method and Description |
|---|---|
void |
apply(opencv_core.GpuMat image,
opencv_core.GpuMat fgmask) |
void |
apply(opencv_core.GpuMat image,
opencv_core.GpuMat fgmask,
double learningRate) |
void |
apply(opencv_core.Mat image,
opencv_core.Mat fgmask) |
void |
apply(opencv_core.Mat image,
opencv_core.Mat fgmask,
double learningRate)
\brief Computes a foreground mask.
|
void |
apply(opencv_core.UMat image,
opencv_core.UMat fgmask) |
void |
apply(opencv_core.UMat image,
opencv_core.UMat fgmask,
double learningRate) |
void |
getBackgroundImage(opencv_core.GpuMat backgroundImage) |
void |
getBackgroundImage(opencv_core.Mat backgroundImage)
\brief Computes a background image.
|
void |
getBackgroundImage(opencv_core.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, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic BackgroundSubtractor(org.bytedeco.javacpp.Pointer p)
Pointer.Pointer(Pointer).public void apply(@ByVal
opencv_core.Mat image,
@ByVal
opencv_core.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 apply(@ByVal
opencv_core.Mat image,
@ByVal
opencv_core.Mat fgmask)
public void apply(@ByVal
opencv_core.UMat image,
@ByVal
opencv_core.UMat fgmask,
double learningRate)
public void apply(@ByVal
opencv_core.UMat image,
@ByVal
opencv_core.UMat fgmask)
public void apply(@ByVal
opencv_core.GpuMat image,
@ByVal
opencv_core.GpuMat fgmask,
double learningRate)
public void apply(@ByVal
opencv_core.GpuMat image,
@ByVal
opencv_core.GpuMat fgmask)
public void getBackgroundImage(@ByVal
opencv_core.Mat backgroundImage)
backgroundImage - The output background image.
\note Sometimes the background image can be very blurry, as it contain the average background statistics.
public void getBackgroundImage(@ByVal
opencv_core.UMat backgroundImage)
public void getBackgroundImage(@ByVal
opencv_core.GpuMat backgroundImage)
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