OpenCV  3.3.1-dev
Open Source Computer Vision
Public Member Functions | Static Public Member Functions | Protected Member Functions | Protected Attributes | List of all members
cv::TrackerStateEstimator Class Referenceabstract

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

#include "tracker.hpp"

Inheritance diagram for cv::TrackerStateEstimator:
cv::TrackerStateEstimatorAdaBoosting cv::TrackerStateEstimatorMILBoosting cv::TrackerStateEstimatorSVM

Public Member Functions

virtual ~TrackerStateEstimator ()
 
Ptr< TrackerTargetStateestimate (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< TrackerStateEstimatorcreate (const String &trackeStateEstimatorType)
 Create TrackerStateEstimator by tracker state estimator type. More...
 

Protected Member Functions

virtual Ptr< TrackerTargetStateestimateImpl (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 [156] State estimator

See [105] Statistical modeling (Fig. 3), Table III (generative) - IV (discriminative) - V (hybrid)

Constructor & Destructor Documentation

§ ~TrackerStateEstimator()

virtual cv::TrackerStateEstimator::~TrackerStateEstimator ( )
virtual

Member Function Documentation

§ create()

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

Create TrackerStateEstimator by tracker state estimator type.

Parameters
trackeStateEstimatorTypeThe TrackerStateEstimator name

The modes available now:

  • "BOOSTING" – Boosting-based discriminative appearance models. See [105] section 4.4

The modes available soon:

  • "SVM" – SVM-based discriminative appearance models. See [105] section 4.5

§ estimate()

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

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

Parameters
confidenceMapsThe overall appearance model as a list of :cConfidenceMap

§ estimateImpl()

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

§ getClassName()

String cv::TrackerStateEstimator::getClassName ( ) const

Get the name of the specific TrackerStateEstimator.

§ update()

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

Update the ConfidenceMap with the scores.

Parameters
confidenceMapsThe overall appearance model as a list of :cConfidenceMap

§ updateImpl()

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

Member Data Documentation

§ className

String cv::TrackerStateEstimator::className
protected

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