Class FarnebackOpticalFlow

Namespace

Emgu.CV

Assembly

Emgu.CV.dll

Class computing a dense optical flow using the Gunnar Farneback's algorithm.

public class FarnebackOpticalFlow : UnmanagedObject, IDisposable, IDenseOpticalFlow, IAlgorithm

Inheritance

object

DisposableObject

UnmanagedObject

FarnebackOpticalFlow

Implements

IDisposable

IDenseOpticalFlow

IAlgorithm

Inherited Members

UnmanagedObject._ptr

UnmanagedObject.Ptr

DisposableObject.Dispose()

DisposableObject.ReleaseManagedResources()

object.GetType()

object.MemberwiseClone()

object.ToString()

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

Extension Methods

AlgorithmExtensions.Clear(IAlgorithm)

AlgorithmExtensions.GetDefaultName(IAlgorithm)

AlgorithmExtensions.IsEmpty(IAlgorithm)

AlgorithmExtensions.Load(IAlgorithm, string, string, string)

AlgorithmExtensions.LoadFromString(IAlgorithm, string, string, string)

AlgorithmExtensions.Read(IAlgorithm, FileNode)

AlgorithmExtensions.Save(IAlgorithm, string)

AlgorithmExtensions.SaveToString(IAlgorithm, string)

AlgorithmExtensions.Write(IAlgorithm, FileStorage, string)

AlgorithmExtensions.Write(IAlgorithm, FileStorage)

DenseOpticalFlowExtensions.Calc(IDenseOpticalFlow, IInputArray, IInputArray, IInputOutputArray)

Constructors

FarnebackOpticalFlow(int, double, bool, int, int, int, double, OpticalflowFarnebackFlag)

Create a FarnebackOpticalFlow object

public FarnebackOpticalFlow(int numLevels = 5, double pyrScale = 0.5, bool fastPyramids = false, int winSize = 13, int numIters = 10, int polyN = 5, double polySigma = 1.1, OpticalflowFarnebackFlag flags = OpticalflowFarnebackFlag.Default)

Parameters

numLevels int

The number of pyramid layers, including the initial image. levels=1 means that no extra layers are created and only the original images are used

pyrScale double

Specifies the image scale (!1) to build the pyramids for each image. pyrScale=0.5 means the classical pyramid, where each next layer is twice smaller than the previous

fastPyramids bool

Fast Pyramids

winSize int

The averaging window size; The larger values increase the algorithm robustness to image noise and give more chances for fast motion detection, but yield more blurred motion field

numIters int

The number of iterations the algorithm does at each pyramid level

polyN int

Size of the pixel neighborhood used to find polynomial expansion in each pixel. The larger values mean that the image will be approximated with smoother surfaces, yielding more robust algorithm and more blurred motion field. Typically, poly n=5 or 7

polySigma double

Standard deviation of the Gaussian that is used to smooth derivatives that are used as a basis for the polynomial expansion. For poly n=5 you can set poly sigma=1.1, for poly n=7 a good value would be poly sigma=1.5

flags OpticalflowFarnebackFlag

The operation flags

Properties

AlgorithmPtr

Return the pointer to the algorithm object

public nint AlgorithmPtr { get; }

Property Value

nint

DenseOpticalFlowPtr

Gets the dense optical flow pointer.

public nint DenseOpticalFlowPtr { get; }

Property Value

nint

The pointer to the dense optical flow object.

Methods

DisposeObject()

Release the unmanaged resources

protected override void DisposeObject()