SparsePyrLKOpticalFlow Constructor

public SparsePyrLKOpticalFlow(
	Size winSize,
	int maxLevel,
	MCvTermCriteria crit,
	LKFlowFlag flags,
	double minEigThreshold
)

Public Sub New ( 
	winSize As Size,
	maxLevel As Integer,
	crit As MCvTermCriteria,
	flags As LKFlowFlag,
	minEigThreshold As Double
)

public:
SparsePyrLKOpticalFlow(
	Size winSize, 
	int maxLevel, 
	MCvTermCriteria crit, 
	LKFlowFlag flags, 
	double minEigThreshold
)

new : 
        winSize : Size * 
        maxLevel : int * 
        crit : MCvTermCriteria * 
        flags : LKFlowFlag * 
        minEigThreshold : float -> SparsePyrLKOpticalFlow

Parameters

winSize

Type: System.DrawingSize
size of the search window at each pyramid level.

maxLevel

Type: SystemInt32
0-based maximal pyramid level number; if set to 0, pyramids are not used (single level), if set to 1, two levels are used, and so on; if pyramids are passed to input then algorithm will use as many levels as pyramids have but no more than maxLevel.

crit

Type: Emgu.CV.StructureMCvTermCriteria
specifying the termination criteria of the iterative search algorithm (after the specified maximum number of iterations criteria.maxCount or when the search window moves by less than criteria.epsilon.

flags

Type: Emgu.CV.CvEnumLKFlowFlag
operation flags

minEigThreshold

Type: SystemDouble
the algorithm calculates the minimum eigen value of a 2x2 normal matrix of optical flow equations, divided by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding feature is filtered out and its flow is not processed, so it allows to remove bad points and get a performance boost.

Reference