OpenCV  4.10.0
Open Source Computer Vision
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Public Member Functions | Protected Member Functions | Protected Attributes | List of all members
cv::detail::tracking::TrackerModel Class Referenceabstract

Abstract class that represents the model of the target. More...

#include <opencv2/video/detail/tracking.detail.hpp>

Collaboration diagram for cv::detail::tracking::TrackerModel:

Public Member Functions

 TrackerModel ()
 
virtual ~TrackerModel ()
 
const std::vector< ConfidenceMap > & getConfidenceMaps () const
 Get the list of the ConfidenceMap.
 
const ConfidenceMapgetLastConfidenceMap () const
 Get the last ConfidenceMap for the current frame.
 
Ptr< TrackerTargetStategetLastTargetState () const
 Get the last TrackerTargetState from Trajectory.
 
Ptr< TrackerStateEstimatorgetTrackerStateEstimator () const
 Get the TrackerStateEstimator.
 
void modelEstimation (const std::vector< Mat > &responses)
 Estimate the most likely target location.
 
void modelUpdate ()
 Update the model.
 
bool runStateEstimator ()
 Run the TrackerStateEstimator, return true if is possible to estimate a new state, false otherwise.
 
void setLastTargetState (const Ptr< TrackerTargetState > &lastTargetState)
 Set the current TrackerTargetState in the Trajectory.
 
bool setTrackerStateEstimator (Ptr< TrackerStateEstimator > trackerStateEstimator)
 Set TrackerEstimator, return true if the tracker state estimator is added, false otherwise.
 

Protected Member Functions

virtual void modelEstimationImpl (const std::vector< Mat > &responses)=0
 
virtual void modelUpdateImpl ()=0
 

Protected Attributes

std::vector< ConfidenceMapconfidenceMaps
 
ConfidenceMap currentConfidenceMap
 
int maxCMLength
 
Ptr< TrackerStateEstimatorstateEstimator
 
Trajectory trajectory
 

Detailed Description

Abstract class that represents the model of the target.

It must be instantiated by specialized tracker

See [231] Ak

Inherits this with your TrackerModel

Constructor & Destructor Documentation

◆ TrackerModel()

cv::detail::tracking::TrackerModel::TrackerModel ( )

◆ ~TrackerModel()

virtual cv::detail::tracking::TrackerModel::~TrackerModel ( )
virtual

Member Function Documentation

◆ getConfidenceMaps()

const std::vector< ConfidenceMap > & cv::detail::tracking::TrackerModel::getConfidenceMaps ( ) const

Get the list of the ConfidenceMap.

◆ getLastConfidenceMap()

const ConfidenceMap & cv::detail::tracking::TrackerModel::getLastConfidenceMap ( ) const

Get the last ConfidenceMap for the current frame.

◆ getLastTargetState()

Ptr< TrackerTargetState > cv::detail::tracking::TrackerModel::getLastTargetState ( ) const

Get the last TrackerTargetState from Trajectory.

◆ getTrackerStateEstimator()

Ptr< TrackerStateEstimator > cv::detail::tracking::TrackerModel::getTrackerStateEstimator ( ) const

◆ modelEstimation()

void cv::detail::tracking::TrackerModel::modelEstimation ( const std::vector< Mat > &  responses)

Estimate the most likely target location.

[231] ME, Model Estimation table I

Parameters
responsesFeatures extracted from TrackerFeatureSet

◆ modelEstimationImpl()

virtual void cv::detail::tracking::TrackerModel::modelEstimationImpl ( const std::vector< Mat > &  responses)
protectedpure virtual

◆ modelUpdate()

void cv::detail::tracking::TrackerModel::modelUpdate ( )

Update the model.

[231] MU, Model Update table I

◆ modelUpdateImpl()

virtual void cv::detail::tracking::TrackerModel::modelUpdateImpl ( )
protectedpure virtual

◆ runStateEstimator()

bool cv::detail::tracking::TrackerModel::runStateEstimator ( )

Run the TrackerStateEstimator, return true if is possible to estimate a new state, false otherwise.

◆ setLastTargetState()

void cv::detail::tracking::TrackerModel::setLastTargetState ( const Ptr< TrackerTargetState > &  lastTargetState)

Set the current TrackerTargetState in the Trajectory.

Parameters
lastTargetStateThe current TrackerTargetState

◆ setTrackerStateEstimator()

bool cv::detail::tracking::TrackerModel::setTrackerStateEstimator ( Ptr< TrackerStateEstimator trackerStateEstimator)

Set TrackerEstimator, return true if the tracker state estimator is added, false otherwise.

Parameters
trackerStateEstimatorThe TrackerStateEstimator
Note
You can add only one TrackerStateEstimator

Member Data Documentation

◆ confidenceMaps

std::vector<ConfidenceMap> cv::detail::tracking::TrackerModel::confidenceMaps
protected

◆ currentConfidenceMap

ConfidenceMap cv::detail::tracking::TrackerModel::currentConfidenceMap
protected

◆ maxCMLength

int cv::detail::tracking::TrackerModel::maxCMLength
protected

◆ stateEstimator

Ptr<TrackerStateEstimator> cv::detail::tracking::TrackerModel::stateEstimator
protected

◆ trajectory

Trajectory cv::detail::tracking::TrackerModel::trajectory
protected

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