org.opencv.bgsegm

Class Bgsegm

java.lang.Object

org.opencv.bgsegm.Bgsegm

public class Bgsegm
extends Object

Field Summary

Fields

Modifier and Type	Field and Description
static int	LSBP_CAMERA_MOTION_COMPENSATION_LK
static int	LSBP_CAMERA_MOTION_COMPENSATION_NONE

Constructor Summary

Constructors

Constructor and Description
Bgsegm()

Method Summary

Modifier and Type	Method and Description
static BackgroundSubtractorCNT	createBackgroundSubtractorCNT() Creates a CNT Background Subtractor
static BackgroundSubtractorCNT	createBackgroundSubtractorCNT(int minPixelStability) Creates a CNT Background Subtractor
static BackgroundSubtractorCNT	createBackgroundSubtractorCNT(int minPixelStability, boolean useHistory) Creates a CNT Background Subtractor
static BackgroundSubtractorCNT	createBackgroundSubtractorCNT(int minPixelStability, boolean useHistory, int maxPixelStability) Creates a CNT Background Subtractor
static BackgroundSubtractorCNT	createBackgroundSubtractorCNT(int minPixelStability, boolean useHistory, int maxPixelStability, boolean isParallel) Creates a CNT Background Subtractor
static BackgroundSubtractorGMG	createBackgroundSubtractorGMG() Creates a GMG Background Subtractor
static BackgroundSubtractorGMG	createBackgroundSubtractorGMG(int initializationFrames) Creates a GMG Background Subtractor
static BackgroundSubtractorGMG	createBackgroundSubtractorGMG(int initializationFrames, double decisionThreshold) Creates a GMG Background Subtractor
static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC() Creates an instance of BackgroundSubtractorGSOC algorithm.
static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC(int mc) Creates an instance of BackgroundSubtractorGSOC algorithm.
static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC(int mc, int nSamples) Creates an instance of BackgroundSubtractorGSOC algorithm.
static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate) Creates an instance of BackgroundSubtractorGSOC algorithm.
static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate) Creates an instance of BackgroundSubtractorGSOC algorithm.
static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold) Creates an instance of BackgroundSubtractorGSOC algorithm.
static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha) Creates an instance of BackgroundSubtractorGSOC algorithm.
static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta) Creates an instance of BackgroundSubtractorGSOC algorithm.
static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay) Creates an instance of BackgroundSubtractorGSOC algorithm.
static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay, float blinkingSupressionMultiplier) Creates an instance of BackgroundSubtractorGSOC algorithm.
static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay, float blinkingSupressionMultiplier, float noiseRemovalThresholdFacBG) Creates an instance of BackgroundSubtractorGSOC algorithm.
static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC(int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay, float blinkingSupressionMultiplier, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG) Creates an instance of BackgroundSubtractorGSOC algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP() Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc, int nSamples) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG, int LSBPthreshold) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP(int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG, int LSBPthreshold, int minCount) Creates an instance of BackgroundSubtractorLSBP algorithm.
static BackgroundSubtractorMOG	createBackgroundSubtractorMOG() Creates mixture-of-gaussian background subtractor means some automatic value.
static BackgroundSubtractorMOG	createBackgroundSubtractorMOG(int history) Creates mixture-of-gaussian background subtractor
static BackgroundSubtractorMOG	createBackgroundSubtractorMOG(int history, int nmixtures) Creates mixture-of-gaussian background subtractor
static BackgroundSubtractorMOG	createBackgroundSubtractorMOG(int history, int nmixtures, double backgroundRatio) Creates mixture-of-gaussian background subtractor
static BackgroundSubtractorMOG	createBackgroundSubtractorMOG(int history, int nmixtures, double backgroundRatio, double noiseSigma) Creates mixture-of-gaussian background subtractor
static SyntheticSequenceGenerator	createSyntheticSequenceGenerator(Mat background, Mat object) Creates an instance of SyntheticSequenceGenerator.
static SyntheticSequenceGenerator	createSyntheticSequenceGenerator(Mat background, Mat object, double amplitude) Creates an instance of SyntheticSequenceGenerator.
static SyntheticSequenceGenerator	createSyntheticSequenceGenerator(Mat background, Mat object, double amplitude, double wavelength) Creates an instance of SyntheticSequenceGenerator.
static SyntheticSequenceGenerator	createSyntheticSequenceGenerator(Mat background, Mat object, double amplitude, double wavelength, double wavespeed) Creates an instance of SyntheticSequenceGenerator.
static SyntheticSequenceGenerator	createSyntheticSequenceGenerator(Mat background, Mat object, double amplitude, double wavelength, double wavespeed, double objspeed) Creates an instance of SyntheticSequenceGenerator.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

LSBP_CAMERA_MOTION_COMPENSATION_NONE

public static final int LSBP_CAMERA_MOTION_COMPENSATION_NONE

See Also:

Constant Field Values

LSBP_CAMERA_MOTION_COMPENSATION_LK

public static final int LSBP_CAMERA_MOTION_COMPENSATION_LK

See Also:

Constant Field Values

Constructor Detail

Bgsegm

public Bgsegm()

Method Detail

createBackgroundSubtractorCNT

public static BackgroundSubtractorCNT createBackgroundSubtractorCNT(int minPixelStability,
                                                                    boolean useHistory,
                                                                    int maxPixelStability,
                                                                    boolean isParallel)

Creates a CNT Background Subtractor

Parameters:

minPixelStability - number of frames with same pixel color to consider stable

useHistory - determines if we're giving a pixel credit for being stable for a long time

maxPixelStability - maximum allowed credit for a pixel in history

isParallel - determines if we're parallelizing the algorithm

Returns:

automatically generated

createBackgroundSubtractorCNT

public static BackgroundSubtractorCNT createBackgroundSubtractorCNT(int minPixelStability,
                                                                    boolean useHistory,
                                                                    int maxPixelStability)

Creates a CNT Background Subtractor

Parameters:

minPixelStability - number of frames with same pixel color to consider stable

useHistory - determines if we're giving a pixel credit for being stable for a long time

maxPixelStability - maximum allowed credit for a pixel in history

Returns:

automatically generated

createBackgroundSubtractorCNT

public static BackgroundSubtractorCNT createBackgroundSubtractorCNT(int minPixelStability,
                                                                    boolean useHistory)

Creates a CNT Background Subtractor

Parameters:

minPixelStability - number of frames with same pixel color to consider stable

useHistory - determines if we're giving a pixel credit for being stable for a long time

Returns:

automatically generated

createBackgroundSubtractorCNT

public static BackgroundSubtractorCNT createBackgroundSubtractorCNT(int minPixelStability)

Creates a CNT Background Subtractor

Parameters:

minPixelStability - number of frames with same pixel color to consider stable

Returns:

automatically generated

createBackgroundSubtractorCNT

public static BackgroundSubtractorCNT createBackgroundSubtractorCNT()

Creates a CNT Background Subtractor

Returns:

automatically generated

createBackgroundSubtractorGMG

public static BackgroundSubtractorGMG createBackgroundSubtractorGMG(int initializationFrames,
                                                                    double decisionThreshold)

Creates a GMG Background Subtractor

Parameters:

initializationFrames - number of frames used to initialize the background models.

decisionThreshold - Threshold value, above which it is marked foreground, else background.

Returns:

automatically generated

createBackgroundSubtractorGMG

public static BackgroundSubtractorGMG createBackgroundSubtractorGMG(int initializationFrames)

Creates a GMG Background Subtractor

Parameters:

initializationFrames - number of frames used to initialize the background models.

Returns:

automatically generated

createBackgroundSubtractorGMG

public static BackgroundSubtractorGMG createBackgroundSubtractorGMG()

Creates a GMG Background Subtractor

Returns:

automatically generated

createBackgroundSubtractorGSOC

public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc,
                                                                      int nSamples,
                                                                      float replaceRate,
                                                                      float propagationRate,
                                                                      int hitsThreshold,
                                                                      float alpha,
                                                                      float beta,
                                                                      float blinkingSupressionDecay,
                                                                      float blinkingSupressionMultiplier,
                                                                      float noiseRemovalThresholdFacBG,
                                                                      float noiseRemovalThresholdFacFG)

Creates an instance of BackgroundSubtractorGSOC algorithm. Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

replaceRate - Probability of replacing the old sample - how fast the model will update itself.

propagationRate - Probability of propagating to neighbors.

hitsThreshold - How many positives the sample must get before it will be considered as a possible replacement.

alpha - Scale coefficient for threshold.

beta - Bias coefficient for threshold.

blinkingSupressionDecay - Blinking supression decay factor.

blinkingSupressionMultiplier - Blinking supression multiplier.

noiseRemovalThresholdFacBG - Strength of the noise removal for background points.

noiseRemovalThresholdFacFG - Strength of the noise removal for foreground points.

Returns:

automatically generated

createBackgroundSubtractorGSOC

public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc,
                                                                      int nSamples,
                                                                      float replaceRate,
                                                                      float propagationRate,
                                                                      int hitsThreshold,
                                                                      float alpha,
                                                                      float beta,
                                                                      float blinkingSupressionDecay,
                                                                      float blinkingSupressionMultiplier,
                                                                      float noiseRemovalThresholdFacBG)

Creates an instance of BackgroundSubtractorGSOC algorithm. Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

replaceRate - Probability of replacing the old sample - how fast the model will update itself.

propagationRate - Probability of propagating to neighbors.

hitsThreshold - How many positives the sample must get before it will be considered as a possible replacement.

alpha - Scale coefficient for threshold.

beta - Bias coefficient for threshold.

blinkingSupressionDecay - Blinking supression decay factor.

blinkingSupressionMultiplier - Blinking supression multiplier.

noiseRemovalThresholdFacBG - Strength of the noise removal for background points.

Returns:

automatically generated

createBackgroundSubtractorGSOC

public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc,
                                                                      int nSamples,
                                                                      float replaceRate,
                                                                      float propagationRate,
                                                                      int hitsThreshold,
                                                                      float alpha,
                                                                      float beta,
                                                                      float blinkingSupressionDecay,
                                                                      float blinkingSupressionMultiplier)

Creates an instance of BackgroundSubtractorGSOC algorithm. Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

replaceRate - Probability of replacing the old sample - how fast the model will update itself.

propagationRate - Probability of propagating to neighbors.

hitsThreshold - How many positives the sample must get before it will be considered as a possible replacement.

alpha - Scale coefficient for threshold.

beta - Bias coefficient for threshold.

blinkingSupressionDecay - Blinking supression decay factor.

blinkingSupressionMultiplier - Blinking supression multiplier.

Returns:

automatically generated

createBackgroundSubtractorGSOC

public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc,
                                                                      int nSamples,
                                                                      float replaceRate,
                                                                      float propagationRate,
                                                                      int hitsThreshold,
                                                                      float alpha,
                                                                      float beta,
                                                                      float blinkingSupressionDecay)

Creates an instance of BackgroundSubtractorGSOC algorithm. Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

replaceRate - Probability of replacing the old sample - how fast the model will update itself.

propagationRate - Probability of propagating to neighbors.

hitsThreshold - How many positives the sample must get before it will be considered as a possible replacement.

alpha - Scale coefficient for threshold.

beta - Bias coefficient for threshold.

blinkingSupressionDecay - Blinking supression decay factor.

Returns:

automatically generated

createBackgroundSubtractorGSOC

public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc,
                                                                      int nSamples,
                                                                      float replaceRate,
                                                                      float propagationRate,
                                                                      int hitsThreshold,
                                                                      float alpha,
                                                                      float beta)

Creates an instance of BackgroundSubtractorGSOC algorithm. Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

replaceRate - Probability of replacing the old sample - how fast the model will update itself.

propagationRate - Probability of propagating to neighbors.

hitsThreshold - How many positives the sample must get before it will be considered as a possible replacement.

alpha - Scale coefficient for threshold.

beta - Bias coefficient for threshold.

Returns:

automatically generated

createBackgroundSubtractorGSOC

public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc,
                                                                      int nSamples,
                                                                      float replaceRate,
                                                                      float propagationRate,
                                                                      int hitsThreshold,
                                                                      float alpha)

Creates an instance of BackgroundSubtractorGSOC algorithm. Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

replaceRate - Probability of replacing the old sample - how fast the model will update itself.

propagationRate - Probability of propagating to neighbors.

hitsThreshold - How many positives the sample must get before it will be considered as a possible replacement.

alpha - Scale coefficient for threshold.

Returns:

automatically generated

createBackgroundSubtractorGSOC

public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc,
                                                                      int nSamples,
                                                                      float replaceRate,
                                                                      float propagationRate,
                                                                      int hitsThreshold)

Creates an instance of BackgroundSubtractorGSOC algorithm. Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

replaceRate - Probability of replacing the old sample - how fast the model will update itself.

propagationRate - Probability of propagating to neighbors.

hitsThreshold - How many positives the sample must get before it will be considered as a possible replacement.

Returns:

automatically generated

createBackgroundSubtractorGSOC

public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc,
                                                                      int nSamples,
                                                                      float replaceRate,
                                                                      float propagationRate)

Creates an instance of BackgroundSubtractorGSOC algorithm. Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

replaceRate - Probability of replacing the old sample - how fast the model will update itself.

propagationRate - Probability of propagating to neighbors.

Returns:

automatically generated

createBackgroundSubtractorGSOC

public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc,
                                                                      int nSamples,
                                                                      float replaceRate)

Creates an instance of BackgroundSubtractorGSOC algorithm. Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

replaceRate - Probability of replacing the old sample - how fast the model will update itself.

Returns:

automatically generated

createBackgroundSubtractorGSOC

public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc,
                                                                      int nSamples)

Creates an instance of BackgroundSubtractorGSOC algorithm. Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

Returns:

automatically generated

createBackgroundSubtractorGSOC

public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC(int mc)

Creates an instance of BackgroundSubtractorGSOC algorithm. Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters:

mc - Whether to use camera motion compensation.

Returns:

automatically generated

createBackgroundSubtractorGSOC

public static BackgroundSubtractorGSOC createBackgroundSubtractorGSOC()

Creates an instance of BackgroundSubtractorGSOC algorithm. Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc,
                                                                      int nSamples,
                                                                      int LSBPRadius,
                                                                      float Tlower,
                                                                      float Tupper,
                                                                      float Tinc,
                                                                      float Tdec,
                                                                      float Rscale,
                                                                      float Rincdec,
                                                                      float noiseRemovalThresholdFacBG,
                                                                      float noiseRemovalThresholdFacFG,
                                                                      int LSBPthreshold,
                                                                      int minCount)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

LSBPRadius - LSBP descriptor radius.

Tlower - Lower bound for T-values. See CITE: LGuo2016 for details.

Tupper - Upper bound for T-values. See CITE: LGuo2016 for details.

Tinc - Increase step for T-values. See CITE: LGuo2016 for details.

Tdec - Decrease step for T-values. See CITE: LGuo2016 for details.

Rscale - Scale coefficient for threshold values.

Rincdec - Increase/Decrease step for threshold values.

noiseRemovalThresholdFacBG - Strength of the noise removal for background points.

noiseRemovalThresholdFacFG - Strength of the noise removal for foreground points.

LSBPthreshold - Threshold for LSBP binary string.

minCount - Minimal number of matches for sample to be considered as foreground.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc,
                                                                      int nSamples,
                                                                      int LSBPRadius,
                                                                      float Tlower,
                                                                      float Tupper,
                                                                      float Tinc,
                                                                      float Tdec,
                                                                      float Rscale,
                                                                      float Rincdec,
                                                                      float noiseRemovalThresholdFacBG,
                                                                      float noiseRemovalThresholdFacFG,
                                                                      int LSBPthreshold)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

LSBPRadius - LSBP descriptor radius.

Tlower - Lower bound for T-values. See CITE: LGuo2016 for details.

Tupper - Upper bound for T-values. See CITE: LGuo2016 for details.

Tinc - Increase step for T-values. See CITE: LGuo2016 for details.

Tdec - Decrease step for T-values. See CITE: LGuo2016 for details.

Rscale - Scale coefficient for threshold values.

Rincdec - Increase/Decrease step for threshold values.

noiseRemovalThresholdFacBG - Strength of the noise removal for background points.

noiseRemovalThresholdFacFG - Strength of the noise removal for foreground points.

LSBPthreshold - Threshold for LSBP binary string.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc,
                                                                      int nSamples,
                                                                      int LSBPRadius,
                                                                      float Tlower,
                                                                      float Tupper,
                                                                      float Tinc,
                                                                      float Tdec,
                                                                      float Rscale,
                                                                      float Rincdec,
                                                                      float noiseRemovalThresholdFacBG,
                                                                      float noiseRemovalThresholdFacFG)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

LSBPRadius - LSBP descriptor radius.

Tlower - Lower bound for T-values. See CITE: LGuo2016 for details.

Tupper - Upper bound for T-values. See CITE: LGuo2016 for details.

Tinc - Increase step for T-values. See CITE: LGuo2016 for details.

Tdec - Decrease step for T-values. See CITE: LGuo2016 for details.

Rscale - Scale coefficient for threshold values.

Rincdec - Increase/Decrease step for threshold values.

noiseRemovalThresholdFacBG - Strength of the noise removal for background points.

noiseRemovalThresholdFacFG - Strength of the noise removal for foreground points.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc,
                                                                      int nSamples,
                                                                      int LSBPRadius,
                                                                      float Tlower,
                                                                      float Tupper,
                                                                      float Tinc,
                                                                      float Tdec,
                                                                      float Rscale,
                                                                      float Rincdec,
                                                                      float noiseRemovalThresholdFacBG)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

LSBPRadius - LSBP descriptor radius.

Tlower - Lower bound for T-values. See CITE: LGuo2016 for details.

Tupper - Upper bound for T-values. See CITE: LGuo2016 for details.

Tinc - Increase step for T-values. See CITE: LGuo2016 for details.

Tdec - Decrease step for T-values. See CITE: LGuo2016 for details.

Rscale - Scale coefficient for threshold values.

Rincdec - Increase/Decrease step for threshold values.

noiseRemovalThresholdFacBG - Strength of the noise removal for background points.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc,
                                                                      int nSamples,
                                                                      int LSBPRadius,
                                                                      float Tlower,
                                                                      float Tupper,
                                                                      float Tinc,
                                                                      float Tdec,
                                                                      float Rscale,
                                                                      float Rincdec)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

LSBPRadius - LSBP descriptor radius.

Tlower - Lower bound for T-values. See CITE: LGuo2016 for details.

Tupper - Upper bound for T-values. See CITE: LGuo2016 for details.

Tinc - Increase step for T-values. See CITE: LGuo2016 for details.

Tdec - Decrease step for T-values. See CITE: LGuo2016 for details.

Rscale - Scale coefficient for threshold values.

Rincdec - Increase/Decrease step for threshold values.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc,
                                                                      int nSamples,
                                                                      int LSBPRadius,
                                                                      float Tlower,
                                                                      float Tupper,
                                                                      float Tinc,
                                                                      float Tdec,
                                                                      float Rscale)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

LSBPRadius - LSBP descriptor radius.

Tlower - Lower bound for T-values. See CITE: LGuo2016 for details.

Tupper - Upper bound for T-values. See CITE: LGuo2016 for details.

Tinc - Increase step for T-values. See CITE: LGuo2016 for details.

Tdec - Decrease step for T-values. See CITE: LGuo2016 for details.

Rscale - Scale coefficient for threshold values.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc,
                                                                      int nSamples,
                                                                      int LSBPRadius,
                                                                      float Tlower,
                                                                      float Tupper,
                                                                      float Tinc,
                                                                      float Tdec)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

LSBPRadius - LSBP descriptor radius.

Tlower - Lower bound for T-values. See CITE: LGuo2016 for details.

Tupper - Upper bound for T-values. See CITE: LGuo2016 for details.

Tinc - Increase step for T-values. See CITE: LGuo2016 for details.

Tdec - Decrease step for T-values. See CITE: LGuo2016 for details.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc,
                                                                      int nSamples,
                                                                      int LSBPRadius,
                                                                      float Tlower,
                                                                      float Tupper,
                                                                      float Tinc)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

LSBPRadius - LSBP descriptor radius.

Tlower - Lower bound for T-values. See CITE: LGuo2016 for details.

Tupper - Upper bound for T-values. See CITE: LGuo2016 for details.

Tinc - Increase step for T-values. See CITE: LGuo2016 for details.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc,
                                                                      int nSamples,
                                                                      int LSBPRadius,
                                                                      float Tlower,
                                                                      float Tupper)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

LSBPRadius - LSBP descriptor radius.

Tlower - Lower bound for T-values. See CITE: LGuo2016 for details.

Tupper - Upper bound for T-values. See CITE: LGuo2016 for details.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc,
                                                                      int nSamples,
                                                                      int LSBPRadius,
                                                                      float Tlower)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

LSBPRadius - LSBP descriptor radius.

Tlower - Lower bound for T-values. See CITE: LGuo2016 for details.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc,
                                                                      int nSamples,
                                                                      int LSBPRadius)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

LSBPRadius - LSBP descriptor radius.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc,
                                                                      int nSamples)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

nSamples - Number of samples to maintain at each point of the frame.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP(int mc)

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Parameters:

mc - Whether to use camera motion compensation.

Returns:

automatically generated

createBackgroundSubtractorLSBP

public static BackgroundSubtractorLSBP createBackgroundSubtractorLSBP()

Creates an instance of BackgroundSubtractorLSBP algorithm. Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at CITE: LGuo2016

Returns:

automatically generated

createBackgroundSubtractorMOG

public static BackgroundSubtractorMOG createBackgroundSubtractorMOG(int history,
                                                                    int nmixtures,
                                                                    double backgroundRatio,
                                                                    double noiseSigma)

Creates mixture-of-gaussian background subtractor

Parameters:

history - Length of the history.

nmixtures - Number of Gaussian mixtures.

backgroundRatio - Background ratio.

noiseSigma - Noise strength (standard deviation of the brightness or each color channel). 0 means some automatic value.

Returns:

automatically generated

createBackgroundSubtractorMOG

public static BackgroundSubtractorMOG createBackgroundSubtractorMOG(int history,
                                                                    int nmixtures,
                                                                    double backgroundRatio)

Creates mixture-of-gaussian background subtractor

Parameters:

history - Length of the history.

nmixtures - Number of Gaussian mixtures.

backgroundRatio - Background ratio. means some automatic value.

Returns:

automatically generated

createBackgroundSubtractorMOG

public static BackgroundSubtractorMOG createBackgroundSubtractorMOG(int history,
                                                                    int nmixtures)

Creates mixture-of-gaussian background subtractor

Parameters:

history - Length of the history.

nmixtures - Number of Gaussian mixtures. means some automatic value.

Returns:

automatically generated

createBackgroundSubtractorMOG

public static BackgroundSubtractorMOG createBackgroundSubtractorMOG(int history)

Creates mixture-of-gaussian background subtractor

Parameters:

history - Length of the history. means some automatic value.

Returns:

automatically generated

createBackgroundSubtractorMOG

public static BackgroundSubtractorMOG createBackgroundSubtractorMOG()

Creates mixture-of-gaussian background subtractor means some automatic value.

Returns:

automatically generated

createSyntheticSequenceGenerator

public static SyntheticSequenceGenerator createSyntheticSequenceGenerator(Mat background,
                                                                          Mat object,
                                                                          double amplitude,
                                                                          double wavelength,
                                                                          double wavespeed,
                                                                          double objspeed)

Creates an instance of SyntheticSequenceGenerator.

Parameters:

background - Background image for object.

object - Object image which will move slowly over the background.

amplitude - Amplitude of wave distortion applied to background.

wavelength - Length of waves in distortion applied to background.

wavespeed - How fast waves will move.

objspeed - How fast object will fly over background.

Returns:

automatically generated

createSyntheticSequenceGenerator

public static SyntheticSequenceGenerator createSyntheticSequenceGenerator(Mat background,
                                                                          Mat object,
                                                                          double amplitude,
                                                                          double wavelength,
                                                                          double wavespeed)

Creates an instance of SyntheticSequenceGenerator.

Parameters:

background - Background image for object.

object - Object image which will move slowly over the background.

amplitude - Amplitude of wave distortion applied to background.

wavelength - Length of waves in distortion applied to background.

wavespeed - How fast waves will move.

Returns:

automatically generated

createSyntheticSequenceGenerator

public static SyntheticSequenceGenerator createSyntheticSequenceGenerator(Mat background,
                                                                          Mat object,
                                                                          double amplitude,
                                                                          double wavelength)

Creates an instance of SyntheticSequenceGenerator.

Parameters:

background - Background image for object.

object - Object image which will move slowly over the background.

amplitude - Amplitude of wave distortion applied to background.

wavelength - Length of waves in distortion applied to background.

Returns:

automatically generated

createSyntheticSequenceGenerator

public static SyntheticSequenceGenerator createSyntheticSequenceGenerator(Mat background,
                                                                          Mat object,
                                                                          double amplitude)

Creates an instance of SyntheticSequenceGenerator.

Parameters:

background - Background image for object.

object - Object image which will move slowly over the background.

amplitude - Amplitude of wave distortion applied to background.

Returns:

automatically generated

createSyntheticSequenceGenerator

public static SyntheticSequenceGenerator createSyntheticSequenceGenerator(Mat background,
                                                                          Mat object)

Creates an instance of SyntheticSequenceGenerator.

Parameters:

background - Background image for object.

object - Object image which will move slowly over the background.

Returns:

automatically generated