cv::detail::tracking::TrackerContribFeatureSet Class Reference

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

#include <opencv2/tracking/tracking_internals.hpp>

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

Detailed Description

Class that manages the extraction and selection of features.

[227] Feature Extraction and Feature Set Refinement (Feature Processing and Feature Selection). See table I and section III C [159] Appearance modelling -> Visual representation (Table II, section 3.1 - 3.2)

TrackerContribFeatureSet is an aggregation of TrackerContribFeature

See also

TrackerContribFeature

Constructor & Destructor Documentation

TrackerContribFeatureSet()

cv::detail::tracking::TrackerContribFeatureSet::TrackerContribFeatureSet

(

)

~TrackerContribFeatureSet()

cv::detail::tracking::TrackerContribFeatureSet::~TrackerContribFeatureSet

(

)

Member Function Documentation

addTrackerFeature() [1/2]

bool cv::detail::tracking::TrackerContribFeatureSet::addTrackerFeature

(

String

trackerFeatureType

)

Add TrackerContribFeature in the collection. Return true if TrackerContribFeature is added, false otherwise.

Parameters

trackerFeatureType

The TrackerContribFeature 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 TrackerContribFeatureSet::addTrackerFeature : :

//sample usage:

Ptr<TrackerContribFeature> trackerFeature = ...;
featureSet->addTrackerFeature( trackerFeature );

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

Note

If you use the second method, you must initialize the TrackerContribFeature

addTrackerFeature() [2/2]

bool cv::detail::tracking::TrackerContribFeatureSet::addTrackerFeature

(

Ptr< TrackerContribFeature > &

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 TrackerContribFeature class

extraction()

void cv::detail::tracking::TrackerContribFeatureSet::extraction

(

const std::vector< Mat > &

images

)

Extract features from the images collection.

Parameters

images

The input images

getResponses()

const std::vector<Mat>& cv::detail::tracking::TrackerContribFeatureSet::getResponses

(

)

const

Get the responses.

Note

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

getTrackerFeature()

const std::vector<std::pair<String, Ptr<TrackerContribFeature> > >& cv::detail::tracking::TrackerContribFeatureSet::getTrackerFeature

(

)

const

Get the TrackerContribFeature collection (TrackerContribFeature name, TrackerContribFeature pointer)

removeOutliers()

void cv::detail::tracking::TrackerContribFeatureSet::removeOutliers

(

)

Remove outliers for all feature types (optional)

selection()

void cv::detail::tracking::TrackerContribFeatureSet::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:

• opencv2/tracking/tracking_internals.hpp