@Namespace(value="cv::detail::tracking::kalman_filters") @Properties(inherit=opencv_tracking.class) public class UnscentedKalmanFilter extends Pointer
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
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UnscentedKalmanFilter(Pointer p)
Pointer cast constructor.
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Modifier and Type | Method and Description |
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Mat |
correct(GpuMat measurement) |
Mat |
correct(Mat measurement)
The function performs correction step of the algorithm
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Mat |
correct(UMat measurement) |
Mat |
getErrorCov() |
Mat |
getMeasurementNoiseCov() |
Mat |
getProcessNoiseCov() |
Mat |
getState() |
Mat |
predict() |
Mat |
predict(GpuMat control) |
Mat |
predict(Mat control)
The function performs prediction step of the algorithm
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Mat |
predict(UMat control) |
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero
public UnscentedKalmanFilter(Pointer p)
Pointer(Pointer)
.@ByVal public Mat predict(@ByVal(nullValue="cv::InputArray(cv::noArray())") Mat control)
control
- - the current control vector,@ByVal public Mat correct(@ByVal Mat measurement)
measurement
- - the current measurement vector,@ByVal public Mat getProcessNoiseCov()
@ByVal public Mat getMeasurementNoiseCov()
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