Class TrackerBoosting

Namespace: Emgu.CV.Legacy

Assembly: Emgu.CV.dll

This is a real-time object tracking based on a novel on-line version of the AdaBoost algorithm. The classifier uses the surrounding background as negative examples in update step to avoid the drifting problem.

public class TrackerBoosting : Tracker, IDisposable

Inheritance: object

DisposableObject

UnmanagedObject

Tracker

TrackerBoosting

Implements: IDisposable

Inherited Members: Tracker._trackerPtr

Tracker.Init(Mat, Rectangle)

Tracker.Update(Mat, out Rectangle)

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()

Constructors

TrackerBoosting(int, float, float, int, int)

Create a Boosting Tracker

public TrackerBoosting(int numClassifiers = 100, float samplerOverlap = 0.99, float samplerSearchFactor = 1.8, int iterationInit = 50, int featureSetNumFeatures = 1050)

Parameters

numClassifiers int: The number of classifiers to use in a OnlineBoosting algorithm
samplerOverlap float: Search region parameters to use in a OnlineBoosting algorithm
samplerSearchFactor float: search region parameters to use in a OnlineBoosting algorithm
iterationInit int: The initial iterations
featureSetNumFeatures int: Number of features, a good value would be 10*numClassifiers + iterationInit

Methods

DisposeObject()

Release all the unmanaged memory associated with this Boosting Tracker