cv::TrackerStateEstimator Class Reference

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

#include "tracker.hpp"

Inheritance diagram for cv::TrackerStateEstimator:

Public Member Functions
virtual	~TrackerStateEstimator ()
Ptr< TrackerTargetState >	estimate (const std::vector< ConfidenceMap > &confidenceMaps)
	Estimate the most likely target state, return the estimated state. More...
String	getClassName () const
	Get the name of the specific TrackerStateEstimator. More...
void	update (std::vector< ConfidenceMap > &confidenceMaps)
	Update the ConfidenceMap with the scores. More...

Static Public Member Functions
static Ptr< TrackerStateEstimator >	create (const String &trackeStateEstimatorType)
	Create TrackerStateEstimator by tracker state estimator type. More...

Protected Member Functions
virtual Ptr< TrackerTargetState >	estimateImpl (const std::vector< ConfidenceMap > &confidenceMaps)=0
virtual void	updateImpl (std::vector< ConfidenceMap > &confidenceMaps)=0

Protected Attributes
String	className

Detailed Description

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

See [123] State estimator

See [84] Statistical modeling (Fig. 3), Table III (generative) - IV (discriminative) - V (hybrid)

Constructor & Destructor Documentation

virtual cv::TrackerStateEstimator::~TrackerStateEstimator ( )

virtual

Member Function Documentation

static Ptr<TrackerStateEstimator> cv::TrackerStateEstimator::create ( const String &  trackeStateEstimatorType )

static

Create TrackerStateEstimator by tracker state estimator type.

Parameters

trackeStateEstimatorType

The TrackerStateEstimator name

The modes available now:

• "BOOSTING" – Boosting-based discriminative appearance models. See [84] section 4.4

The modes available soon:

• "SVM" – SVM-based discriminative appearance models. See [84] section 4.5

Ptr<TrackerTargetState> cv::TrackerStateEstimator::estimate

(

const std::vector< ConfidenceMap > &

confidenceMaps

)

Estimate the most likely target state, return the estimated state.

Parameters

confidenceMaps

The overall appearance model as a list of :cConfidenceMap

virtual Ptr<TrackerTargetState> cv::TrackerStateEstimator::estimateImpl ( const std::vector< ConfidenceMap > &  confidenceMaps )

protectedpure virtual

Implemented in cv::TrackerStateEstimatorSVM, cv::TrackerStateEstimatorAdaBoosting, and cv::TrackerStateEstimatorMILBoosting.

String cv::TrackerStateEstimator::getClassName

(

)

const

Get the name of the specific TrackerStateEstimator.

void cv::TrackerStateEstimator::update

(

std::vector< ConfidenceMap > &

confidenceMaps

)

Update the ConfidenceMap with the scores.

Parameters

confidenceMaps

The overall appearance model as a list of :cConfidenceMap

virtual void cv::TrackerStateEstimator::updateImpl ( std::vector< ConfidenceMap > &  confidenceMaps )

protectedpure virtual

Implemented in cv::TrackerStateEstimatorSVM, cv::TrackerStateEstimatorAdaBoosting, and cv::TrackerStateEstimatorMILBoosting.

Member Data Documentation

String cv::TrackerStateEstimator::className

protected

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

• /build/master-contrib_docs-mac/opencv_contrib/modules/tracking/include/opencv2/tracking/tracker.hpp