Class BackgroundSubtractor

    • 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.
      • finalize

        protected void finalize()
                         throws java.lang.Throwable
        Overrides:
        finalize in class Algorithm
        Throws:
        java.lang.Throwable