Class BackgroundSubtractorCNT


  • public class BackgroundSubtractorCNT
    extends BackgroundSubtractor
    Background subtraction based on counting. About as fast as MOG2 on a high end system. More than twice faster than MOG2 on cheap hardware (benchmarked on Raspberry Pi3). %Algorithm by Sagi Zeevi ( https://github.com/sagi-z/BackgroundSubtractorCNT )
    • Constructor Detail

      • BackgroundSubtractorCNT

        protected BackgroundSubtractorCNT​(long addr)
    • Method Detail

      • apply

        public void apply​(Mat image,
                          Mat fgmask,
                          double learningRate)
        Description copied from class: BackgroundSubtractor
        Computes a foreground mask.
        Overrides:
        apply in class BackgroundSubtractor
        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)
        Description copied from class: BackgroundSubtractor
        Computes a foreground mask.
        Overrides:
        apply in class BackgroundSubtractor
        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)
        Description copied from class: BackgroundSubtractor
        Computes a background image.
        Overrides:
        getBackgroundImage in class BackgroundSubtractor
        Parameters:
        backgroundImage - The output background image. Note: Sometimes the background image can be very blurry, as it contain the average background statistics.
      • getMinPixelStability

        public int getMinPixelStability()
        Returns number of frames with same pixel color to consider stable.
        Returns:
        automatically generated
      • setMinPixelStability

        public void setMinPixelStability​(int value)
        Sets the number of frames with same pixel color to consider stable.
        Parameters:
        value - automatically generated
      • getMaxPixelStability

        public int getMaxPixelStability()
        Returns maximum allowed credit for a pixel in history.
        Returns:
        automatically generated
      • setMaxPixelStability

        public void setMaxPixelStability​(int value)
        Sets the maximum allowed credit for a pixel in history.
        Parameters:
        value - automatically generated
      • getUseHistory

        public boolean getUseHistory()
        Returns if we're giving a pixel credit for being stable for a long time.
        Returns:
        automatically generated
      • setUseHistory

        public void setUseHistory​(boolean value)
        Sets if we're giving a pixel credit for being stable for a long time.
        Parameters:
        value - automatically generated
      • getIsParallel

        public boolean getIsParallel()
        Returns if we're parallelizing the algorithm.
        Returns:
        automatically generated
      • setIsParallel

        public void setIsParallel​(boolean value)
        Sets if we're parallelizing the algorithm.
        Parameters:
        value - automatically generated
      • finalize

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