Trait opencv::hub_prelude::TrackerKCF

pub trait TrackerKCF: Tracker {
    pub fn as_raw_TrackerKCF(&self) -> *const c_void;
    pub fn as_raw_mut_TrackerKCF(&mut self) -> *mut c_void;

    pub fn set_feature_extractor(
        &mut self, 
        callback: TrackerKCF_FeatureExtractorCallbackFN, 
        pca_func: bool
    ) -> Result<()> { ... }
}

the KCF (Kernelized Correlation Filter) tracker

• KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed.
• This tracking method is an implementation of KCF_ECCV which is extended to KCF with color-names features (KCF_CN).
• The original paper of KCF is available at http://www.robots.ox.ac.uk/~joao/publications/henriques_tpami2015.pdf
• as well as the matlab implementation. For more information about KCF with color-names features, please refer to
• http://www.cvl.isy.liu.se/research/objrec/visualtracking/colvistrack/index.html.

Required methods

pub fn as_raw_TrackerKCF(&self) -> *const c_void

pub fn as_raw_mut_TrackerKCF(&mut self) -> *mut c_void

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Provided methods

pub fn set_feature_extractor(
    &mut self,
    callback: TrackerKCF_FeatureExtractorCallbackFN,
    pca_func: bool
) -> Result<()>

C++ default parameters

• pca_func: false

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Implementations

impl<'_> dyn TrackerKCF + '_

pub fn create(parameters: TrackerKCF_Params) -> Result<Ptr<dyn TrackerKCF>>

Create KCF tracker instance

Parameters

• parameters: KCF parameters TrackerKCF::Params

C++ default parameters

• parameters: TrackerKCF::Params()

Implementors

impl TrackerKCF for PtrOfTrackerKCF

pub fn as_raw_TrackerKCF(&self) -> *const c_void

pub fn as_raw_mut_TrackerKCF(&mut self) -> *mut c_void

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