OpenCV  4.10.0
Open Source Computer Vision
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Public Member Functions | List of all members
cv::detail::tracking::TrackerContribSampler Class Reference

Class that manages the sampler in order to select regions for the update the model of the tracker [AAM] Sampling e Labeling. See table I and section III B. More...

#include <opencv2/tracking/tracking_internals.hpp>

Collaboration diagram for cv::detail::tracking::TrackerContribSampler:

Public Member Functions

 TrackerContribSampler ()
 Constructor.
 
 ~TrackerContribSampler ()
 Destructor.
 
bool addTrackerSamplerAlgorithm (Ptr< TrackerContribSamplerAlgorithm > &sampler)
 
bool addTrackerSamplerAlgorithm (String trackerSamplerAlgorithmType)
 Add TrackerContribSamplerAlgorithm in the collection. Return true if sampler is added, false otherwise.
 
const std::vector< std::pair< String, Ptr< TrackerContribSamplerAlgorithm > > > & getSamplers () const
 Return the collection of the TrackerContribSamplerAlgorithm.
 
const std::vector< Mat > & getSamples () const
 Return the samples from all TrackerContribSamplerAlgorithm, [231] Fig. 1 variable Sk.
 
void sampling (const Mat &image, Rect boundingBox)
 Computes the regions starting from a position in an image.
 

Detailed Description

Class that manages the sampler in order to select regions for the update the model of the tracker [AAM] Sampling e Labeling. See table I and section III B.

Class that manages the sampler in order to select regions for the update the model of the tracker

[231] Sampling e Labeling. See table I and section III B

TrackerContribSampler is an aggregation of TrackerContribSamplerAlgorithm

See also
TrackerContribSamplerAlgorithm

Constructor & Destructor Documentation

◆ TrackerContribSampler()

cv::detail::tracking::TrackerContribSampler::TrackerContribSampler ( )

Constructor.

◆ ~TrackerContribSampler()

cv::detail::tracking::TrackerContribSampler::~TrackerContribSampler ( )

Destructor.

Member Function Documentation

◆ addTrackerSamplerAlgorithm() [1/2]

bool cv::detail::tracking::TrackerContribSampler::addTrackerSamplerAlgorithm ( Ptr< TrackerContribSamplerAlgorithm > &  sampler)

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters
samplerThe TrackerContribSamplerAlgorithm

◆ addTrackerSamplerAlgorithm() [2/2]

bool cv::detail::tracking::TrackerContribSampler::addTrackerSamplerAlgorithm ( String  trackerSamplerAlgorithmType)

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

Parameters
trackerSamplerAlgorithmTypeThe TrackerContribSamplerAlgorithm name

The modes available now:

  • "CSC" – Current State Center
  • "CS" – Current State
  • "PF" – Particle Filtering

Example TrackerContribSamplerAlgorithm::addTrackerContribSamplerAlgorithm : :

if( !sampler->addTrackerSamplerAlgorithm( CSCSampler ) )
return false;
//or add CSC sampler with default parameters
//sampler->addTrackerSamplerAlgorithm( "CSC" );
TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL.
Definition tracking_internals.hpp:642
std::shared_ptr< _Tp > Ptr
Definition cvstd_wrapper.hpp:23
Definition tracking_internals.hpp:654
Note
If you use the second method, you must initialize the TrackerContribSamplerAlgorithm

◆ getSamplers()

const std::vector< std::pair< String, Ptr< TrackerContribSamplerAlgorithm > > > & cv::detail::tracking::TrackerContribSampler::getSamplers ( ) const

Return the collection of the TrackerContribSamplerAlgorithm.

◆ getSamples()

const std::vector< Mat > & cv::detail::tracking::TrackerContribSampler::getSamples ( ) const

Return the samples from all TrackerContribSamplerAlgorithm, [231] Fig. 1 variable Sk.

◆ sampling()

void cv::detail::tracking::TrackerContribSampler::sampling ( const Mat image,
Rect  boundingBox 
)

Computes the regions starting from a position in an image.

Parameters
imageThe current frame
boundingBoxThe bounding box from which regions can be calculated

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