cv::TrackerFeature Class Reference

Abstract base class for TrackerFeature that represents the feature. More...

#include <opencv2/tracking/tracker.hpp>

Inheritance diagram for cv::TrackerFeature:

Public Member Functions
virtual	~TrackerFeature ()
void	compute (const std::vector< Mat > &images, Mat &response)
	Compute the features in the images collection.
String	getClassName () const
	Get the name of the specific TrackerFeature.
virtual void	selection (Mat &response, int npoints)=0
	Identify most effective features.

Static Public Member Functions
static Ptr< TrackerFeature >	create (const String &trackerFeatureType)
	Create TrackerFeature by tracker feature type.

Protected Member Functions
virtual bool	computeImpl (const std::vector< Mat > &images, Mat &response)=0

Protected Attributes
String	className

Detailed Description

Abstract base class for TrackerFeature that represents the feature.

Constructor & Destructor Documentation

virtual cv::TrackerFeature::~TrackerFeature ( )

virtual

Member Function Documentation

void cv::TrackerFeature::compute	(	const std::vector< Mat > &	images,
		Mat &	response
	)

Compute the features in the images collection.

Parameters

images	The images
response	The output response

virtual bool cv::TrackerFeature::computeImpl ( const std::vector< Mat > &  images, Mat &  response  )

protectedpure virtual

Implemented in cv::TrackerFeatureLBP, cv::TrackerFeatureHAAR, cv::TrackerFeatureHOG, and cv::TrackerFeatureFeature2d.

static Ptr<TrackerFeature> cv::TrackerFeature::create ( const String &  trackerFeatureType )

static

Create TrackerFeature by tracker feature type.

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

String cv::TrackerFeature::getClassName

(

)

const

Get the name of the specific TrackerFeature.

virtual void cv::TrackerFeature::selection ( Mat &  response, int  npoints  )

pure virtual

Identify most effective features.

Parameters

response	Collection of response for the specific TrackerFeature
npoints	Max number of features

Note

This method modifies the response parameter

Implemented in cv::TrackerFeatureLBP, cv::TrackerFeatureHAAR, cv::TrackerFeatureHOG, and cv::TrackerFeatureFeature2d.

Member Data Documentation

String cv::TrackerFeature::className

protected

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

• tracker.hpp