Class BackgroundSubtractor

  • Direct Known Subclasses:
    BackgroundSubtractorKNN, BackgroundSubtractorMOG2

    public class BackgroundSubtractor
    extends Algorithm
    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.
    • Constructor Detail

      • BackgroundSubtractor

        protected BackgroundSubtractor​(long addr)
    • Method Detail

      • apply

        public void apply​(Mat image,
                          Mat fgmask,
                          double learningRate)
        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.
      • apply

        public void apply​(Mat image,
                          Mat fgmask)
        Computes a foreground mask.
        Parameters:
        image - Next video frame.
        fgmask - The output foreground mask as an 8-bit binary image. 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.
      • getBackgroundImage

        public void getBackgroundImage​(Mat backgroundImage)
        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.