[−][src]Trait opencv::video::BackgroundSubtractor

pub trait BackgroundSubtractor: AlgorithmTrait {
    fn as_raw_BackgroundSubtractor(&self) -> *mut c_void;

    fn apply(
        &mut self, 
        image: &dyn ToInputArray, 
        fgmask: &mut dyn ToOutputArray, 
        learning_rate: f64
    ) -> Result<()> { ... }

    fn get_background_image(
        &self, 
        background_image: &mut dyn ToOutputArray
    ) -> Result<()> { ... }
}

Base class for background/foreground segmentation. :

The class is only used to define the common interface for the whole family of background/foreground segmentation algorithms.

Required methods

fn as_raw_BackgroundSubtractor(&self) -> *mut c_void

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Provided methods

fn apply(
    &mut self,
    image: &dyn ToInputArray,
    fgmask: &mut dyn ToOutputArray,
    learning_rate: f64
) -> Result<()>

Computes a foreground mask.

Parameters

  • image: Next video frame.
  • fgmask: The output foreground mask as an 8-bit binary image.
  • learningRate: The value between 0 and 1 that indicates how fast the background model is learnt. Negative parameter value makes the algorithm to use some automatically chosen learning rate. 0 means that the background model is not updated at all, 1 means that the background model is completely reinitialized from the last frame.

C++ default parameters

  • learning_rate: -1

fn get_background_image(
    &self,
    background_image: &mut dyn ToOutputArray
) -> Result<()>

Computes a background image.

Parameters

  • backgroundImage: The output background image.

Note: Sometimes the background image can be very blurry, as it contain the average background statistics.

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Implementors

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