Trait opencv::hub_prelude::BackgroundSubtractorKNN

source ·

pub trait BackgroundSubtractorKNN: BackgroundSubtractor + BackgroundSubtractorKNNConst {
    // Required method
    fn as_raw_mut_BackgroundSubtractorKNN(&mut self) -> *mut c_void;

    // Provided methods
    fn set_history(&mut self, history: i32) -> Result<()> { ... }
    fn set_n_samples(&mut self, _n_n: i32) -> Result<()> { ... }
    fn set_dist2_threshold(&mut self, _dist2_threshold: f64) -> Result<()> { ... }
    fn setk_nn_samples(&mut self, _nk_nn: i32) -> Result<()> { ... }
    fn set_detect_shadows(&mut self, detect_shadows: bool) -> Result<()> { ... }
    fn set_shadow_value(&mut self, value: i32) -> Result<()> { ... }
    fn set_shadow_threshold(&mut self, threshold: f64) -> Result<()> { ... }
}

Expand description

K-nearest neighbours - based Background/Foreground Segmentation Algorithm.

The class implements the K-nearest neighbours background subtraction described in Zivkovic2006 . Very efficient if number of foreground pixels is low.