Class BackgroundSubtractorCNT

java.lang.Object
org.opencv.core.Algorithm
org.opencv.video.BackgroundSubtractor
org.opencv.bgsegm.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 Details

    • BackgroundSubtractorCNT

      protected BackgroundSubtractorCNT(long addr)

  • Method Details

    • __fromPtr__

      public static BackgroundSubtractorCNT __fromPtr__(long addr)

    • 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 Throwable
      Overrides:
      finalize in class BackgroundSubtractor
      Throws:
      Throwable