Struct opencv::tracking::TrackerKCF

pub struct TrackerKCF { /* private fields */ }

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.

Implementations

impl TrackerKCF

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

Create KCF tracker instance

Parameters

• parameters: KCF parameters TrackerKCF::Params

C++ default parameters

• parameters: TrackerKCF::Params()

Trait Implementations

impl Boxed for TrackerKCF

unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer.

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

Return the underlying mutable raw pointer

impl Debug for TrackerKCF

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Drop for TrackerKCF

fn drop(&mut self)

Executes the destructor for this type.

impl From<TrackerKCF> for Tracker

fn from(s: TrackerKCF) -> Self

Converts to this type from the input type.

impl TrackerKCFTrait for TrackerKCF

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

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

C++ default parameters

impl TrackerKCFTraitConst for TrackerKCF

fn as_raw_TrackerKCF(&self) -> *const c_void

impl TrackerTrait for TrackerKCF

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

fn init(&mut self, image: &impl ToInputArray, bounding_box: Rect) -> Result<()>

Initialize the tracker with a known bounding box that surrounded the target

fn update( &mut self, image: &impl ToInputArray, bounding_box: &mut Rect ) -> Result<bool>

Update the tracker, find the new most likely bounding box for the target

impl TrackerTraitConst for TrackerKCF

fn as_raw_Tracker(&self) -> *const c_void

impl Send for TrackerKCF