[−][src]Trait opencv::prelude::TrackerFeatureSetTrait

pub trait TrackerFeatureSetTrait {
    fn as_raw_TrackerFeatureSet(&self) -> *const c_void;

    fn as_raw_mut_TrackerFeatureSet(&mut self) -> *mut c_void;

    fn extraction(&mut self, images: &Vector<Mat>) -> Result<()> { ... }

    fn selection(&mut self) -> Result<()> { ... }

    fn remove_outliers(&mut self) -> Result<()> { ... }

    fn add_tracker_feature(
        &mut self, 
        tracker_feature_type: &str
    ) -> Result<bool> { ... }

    fn add_tracker_feature_1(
        &mut self, 
        feature: &mut Ptr<dyn TrackerFeature>
    ) -> Result<bool> { ... }

    fn get_responses(&self) -> Result<Vector<Mat>> { ... }
}

Class that manages the extraction and selection of features

AAM Feature Extraction and Feature Set Refinement (Feature Processing and Feature Selection). See table I and section III C AMVOT Appearance modelling -> Visual representation (Table II, section 3.1 - 3.2)

TrackerFeatureSet is an aggregation of TrackerFeature

See also

TrackerFeature

Required methods

fn as_raw_TrackerFeatureSet(&self) -> *const c_void

fn as_raw_mut_TrackerFeatureSet(&mut self) -> *mut c_void

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Provided methods

fn extraction(&mut self, images: &Vector<Mat>) -> Result<()>

Extract features from the images collection

Parameters

  • images: The input images

fn selection(&mut self) -> Result<()>

Identify most effective features for all feature types (optional)

fn remove_outliers(&mut self) -> Result<()>

Remove outliers for all feature types (optional)

fn add_tracker_feature(&mut self, tracker_feature_type: &str) -> Result<bool>

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

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

Example TrackerFeatureSet::addTrackerFeature : :

ⓘThis example is not tested
   //sample usage:
 
   Ptr<TrackerFeature> trackerFeature = new TrackerFeatureHAAR( HAARparameters );
   featureSet->addTrackerFeature( trackerFeature );
 
   //or add CSC sampler with default parameters
   //featureSet->addTrackerFeature( "HAAR" );

Note: If you use the second method, you must initialize the TrackerFeature

fn add_tracker_feature_1(
    &mut self,
    feature: &mut Ptr<dyn TrackerFeature>
) -> Result<bool>

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

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

Example TrackerFeatureSet::addTrackerFeature : :

ⓘThis example is not tested
   //sample usage:
 
   Ptr<TrackerFeature> trackerFeature = new TrackerFeatureHAAR( HAARparameters );
   featureSet->addTrackerFeature( trackerFeature );
 
   //or add CSC sampler with default parameters
   //featureSet->addTrackerFeature( "HAAR" );

Note: If you use the second method, you must initialize the TrackerFeature

Overloaded parameters

  • feature: The TrackerFeature class

fn get_responses(&self) -> Result<Vector<Mat>>

Get the responses

Note: Be sure to call extraction before getResponses Example TrackerFeatureSet::getResponses : :

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Implementors

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