Contains a collection of optical flow methods

Namespace:  Emgu.CV
Assembly:  Emgu.CV (in Emgu.CV.dll) Version: 2.1.0.649 (2.1.0.649)

Syntax

         
 C#  Visual Basic  Visual C++ 
public static class OpticalFlow
Public NotInheritable Class OpticalFlow
public ref class OpticalFlow abstract sealed

Members

      
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 XNA Framework Only 

 .NET Compact Framework Only 

 MemberDescription
BM(Image<(Of <(Gray, Byte>)>), Image<(Of <(Gray, Byte>)>), Size, Size, Size, Boolean, Image<(Of <(Gray, Single>)>), Image<(Of <(Gray, Single>)>))
Calculates optical flow for overlapped blocks block_size.width * block_size.height pixels each, thus the velocity fields are smaller than the original images. For every block in prev the functions tries to find a similar block in curr in some neighborhood of the original block or shifted by (velx(x0,y0),vely(x0,y0)) block as has been calculated by previous function call (if use_previous)
Farneback(Image<(Of <(Gray, Byte>)>), Image<(Of <(Gray, Byte>)>), Image<(Of <(Gray, Single>)>), Image<(Of <(Gray, Single>)>), Double, Int32, Int32, Int32, Int32, Double, OPTICALFLOW_FARNEBACK_FLAG)
Computes dense optical flow using Gunnar Farneback's algorithm
HS(Image<(Of <(Gray, Byte>)>), Image<(Of <(Gray, Byte>)>), Boolean, Image<(Of <(Gray, Single>)>), Image<(Of <(Gray, Single>)>), Double, MCvTermCriteria)
Computes flow for every pixel of the first input image using Horn & Schunck algorithm
LK(Image<(Of <(Gray, Byte>)>), Image<(Of <(Gray, Byte>)>), Size, Image<(Of <(Gray, Single>)>), Image<(Of <(Gray, Single>)>))
Computes flow for every pixel of the first input image using Lucas & Kanade algorithm
PyrLK(Image<(Of <(Gray, Byte>)>), Image<(Of <(Gray, Byte>)>), Image<(Of <(Gray, Byte>)>), Image<(Of <(Gray, Byte>)>), array<PointF>[]()[], Size, Int32, MCvTermCriteria, LKFLOW_TYPE, array<PointF>[]()[]%, array<Byte>[]()[]%, array<Single>[]()[]%)
Calculates optical flow for a sparse feature set using iterative Lucas-Kanade method in pyramids
PyrLK(Image<(Of <(Gray, Byte>)>), Image<(Of <(Gray, Byte>)>), array<PointF>[]()[], Size, Int32, MCvTermCriteria, array<PointF>[]()[]%, array<Byte>[]()[]%, array<Single>[]()[]%)
Calculates optical flow for a sparse feature set using iterative Lucas-Kanade method in pyramids

Inheritance Hierarchy

System..::.Object
  Emgu.CV..::.OpticalFlow

See Also