org.bytedeco.opencv.opencv_tracking

Class TrackerStateEstimator

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_tracking.TrackerStateEstimator

All Implemented Interfaces:

AutoCloseable

Direct Known Subclasses:

TrackerStateEstimatorAdaBoosting, TrackerStateEstimatorMILBoosting, TrackerStateEstimatorSVM

@Namespace(value="cv")
 @Properties(inherit=opencv_tracking.class)
public class TrackerStateEstimator
extends Pointer

\brief Abstract base class for TrackerStateEstimator that estimates the most likely target state.

See \cite AAM State estimator

See \cite AMVOT Statistical modeling (Fig. 3), Table III (generative) - IV (discriminative) - V (hybrid)

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
TrackerStateEstimator(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
static TrackerStateEstimator	create(BytePointer trackeStateEstimatorType) \brief Create TrackerStateEstimator by tracker state estimator type
static TrackerStateEstimator	create(String trackeStateEstimatorType)
TrackerTargetState	estimate(ConfidenceMapVector confidenceMaps) \brief Estimate the most likely target state, return the estimated state
BytePointer	getClassName() \brief Get the name of the specific TrackerStateEstimator
void	update(ConfidenceMapVector confidenceMaps) \brief Update the ConfidenceMap with the scores

Methods inherited from class org.bytedeco.javacpp.Pointer

address, 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, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

TrackerStateEstimator

public TrackerStateEstimator(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

Method Detail

estimate

@opencv_core.Ptr
 @ByVal
public TrackerTargetState estimate(@Const @ByRef
                                                            ConfidenceMapVector confidenceMaps)

\brief Estimate the most likely target state, return the estimated state

Parameters:

confidenceMaps - The overall appearance model as a list of :cConfidenceMap

update

public void update(@ByRef
                   ConfidenceMapVector confidenceMaps)

\brief Update the ConfidenceMap with the scores

Parameters:

confidenceMaps - The overall appearance model as a list of :cConfidenceMap

create

@opencv_core.Ptr
public static TrackerStateEstimator create(@opencv_core.Str
                                                            BytePointer trackeStateEstimatorType)

\brief Create TrackerStateEstimator by tracker state estimator type

Parameters:

trackeStateEstimatorType - The TrackerStateEstimator name

The modes available now:

- "BOOSTING" -- Boosting-based discriminative appearance models. See \cite AMVOT section 4.4

The modes available soon:

- "SVM" -- SVM-based discriminative appearance models. See \cite AMVOT section 4.5

create

@opencv_core.Ptr
public static TrackerStateEstimator create(@opencv_core.Str
                                                            String trackeStateEstimatorType)

getClassName

@opencv_core.Str
public BytePointer getClassName()

\brief Get the name of the specific TrackerStateEstimator