[−][src]Trait opencv::tracking::TrackerKCF

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

    fn set_feature_extractor(
        &mut self, 
        unnamed: Option<unsafe extern "C" fn(_: *const c_void, _: Rect, _: *mut c_void)>, 
        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.