org.bytedeco.opencv.opencv_tracking

Class TrackerFeatureSet

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_tracking.TrackerFeatureSet

All Implemented Interfaces:

AutoCloseable

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

\brief Class that manages the extraction and selection of features

\cite AAM Feature Extraction and Feature Set Refinement (Feature Processing and Feature Selection). See table I and section III C \cite AMVOT Appearance modelling -\> Visual representation (Table II, section 3.1 - 3.2)

TrackerFeatureSet is an aggregation of TrackerFeature

See Also:

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
TrackerFeatureSet()
TrackerFeatureSet(long size) Native array allocator.
TrackerFeatureSet(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
boolean	addTrackerFeature(BytePointer trackerFeatureType) \brief Add TrackerFeature in the collection.
boolean	addTrackerFeature(String trackerFeatureType)
boolean	addTrackerFeature(TrackerFeature feature) \overload
void	extraction(MatVector images) \brief Extract features from the images collection
MatVector	getResponses() \brief Get the responses
StringTrackerFeaturePairVector	getTrackerFeature() \brief Get the TrackerFeature collection (TrackerFeature name, TrackerFeature pointer)
TrackerFeatureSet	position(long position)
void	removeOutliers() \brief Remove outliers for all feature types (optional)
void	selection() \brief Identify most effective features for all feature types (optional)

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, 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

TrackerFeatureSet

public TrackerFeatureSet(Pointer p)

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

TrackerFeatureSet

public TrackerFeatureSet(long size)

Native array allocator. Access with Pointer.position(long).

TrackerFeatureSet

public TrackerFeatureSet()

Method Detail

position

public TrackerFeatureSet position(long position)

Overrides:

position in class Pointer

extraction

public void extraction(@Const @ByRef
                       MatVector images)

\brief Extract features from the images collection

Parameters:

images - The input images

selection

public void selection()

\brief Identify most effective features for all feature types (optional)

removeOutliers

public void removeOutliers()

\brief Remove outliers for all feature types (optional)

addTrackerFeature

@Cast(value="bool")
public boolean addTrackerFeature(@opencv_core.Str
                                                     BytePointer trackerFeatureType)

\brief Add TrackerFeature in the collection. Return true if TrackerFeature is added, false otherwise

Parameters:

trackerFeatureType - The TrackerFeature name

The modes available now:

- "HAAR" -- Haar Feature-based

The modes that will be available soon:

- "HOG" -- Histogram of Oriented Gradients features - "LBP" -- Local Binary Pattern features - "FEATURE2D" -- All types of Feature2D

Example TrackerFeatureSet::addTrackerFeature : :

        //sample usage:

        Ptr<TrackerFeature> trackerFeature = new TrackerFeatureHAAR( HAARparameters );
        featureSet->addTrackerFeature( trackerFeature );

        //or add CSC sampler with default parameters
        //featureSet->addTrackerFeature( "HAAR" );
    

\note If you use the second method, you must initialize the TrackerFeature

addTrackerFeature

@Cast(value="bool")
public boolean addTrackerFeature(@opencv_core.Str
                                                     String trackerFeatureType)

addTrackerFeature

@Cast(value="bool")
public boolean addTrackerFeature(@opencv_core.Ptr @ByVal
                                                     TrackerFeature feature)

\overload

Parameters:

feature - The TrackerFeature class

getTrackerFeature

@Const
 @ByRef
public StringTrackerFeaturePairVector getTrackerFeature()

\brief Get the TrackerFeature collection (TrackerFeature name, TrackerFeature pointer)

getResponses

@Const
 @ByRef
public MatVector getResponses()

\brief Get the responses

\note Be sure to call extraction before getResponses Example TrackerFeatureSet::getResponses : :