cv::TrackerFeatureSet Class Reference

Class that manages the extraction and selection of features. More...

#include <opencv2/tracking/tracker.hpp>

Public Member Functions
	TrackerFeatureSet ()
	~TrackerFeatureSet ()
bool	addTrackerFeature (String trackerFeatureType)
	Add TrackerFeature in the collection. Return true if TrackerFeature is added, false otherwise.
bool	addTrackerFeature (Ptr< TrackerFeature > &feature)
void	extraction (const std::vector< Mat > &images)
	Extract features from the images collection.
const std::vector< Mat > &	getResponses () const
	Get the responses.
const std::vector< std::pair < String, Ptr< TrackerFeature > > > &	getTrackerFeature () const
	Get the TrackerFeature collection (TrackerFeature name, TrackerFeature pointer)
void	removeOutliers ()
	Remove outliers for all feature types (optional)
void	selection ()
	Identify most effective features for all feature types (optional)

Detailed Description

Class that manages the extraction and selection of features.

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

TrackerFeatureSet is an aggregation of TrackerFeature

See Also

TrackerFeature

Constructor & Destructor Documentation

cv::TrackerFeatureSet::TrackerFeatureSet

(

)

cv::TrackerFeatureSet::~TrackerFeatureSet

(

)

Member Function Documentation

bool cv::TrackerFeatureSet::addTrackerFeature

(

String

trackerFeatureType

)

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

bool cv::TrackerFeatureSet::addTrackerFeature

(

Ptr< TrackerFeature > &

feature

)

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

feature

The TrackerFeature class

void cv::TrackerFeatureSet::extraction

(

const std::vector< Mat > &

images

)

Extract features from the images collection.

Parameters

images

The input images

const std::vector<Mat>& cv::TrackerFeatureSet::getResponses

(

)

const

Get the responses.

Note

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

const std::vector<std::pair<String, Ptr<TrackerFeature> > >& cv::TrackerFeatureSet::getTrackerFeature

(

)

const

Get the TrackerFeature collection (TrackerFeature name, TrackerFeature pointer)

void cv::TrackerFeatureSet::removeOutliers

(

)

Remove outliers for all feature types (optional)

void cv::TrackerFeatureSet::selection

(

)

Identify most effective features for all feature types (optional)

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The documentation for this class was generated from the following file:

• tracker.hpp