Click or drag to resize

TrackerTLD Class

http://www.emgu.com
TLD is a novel tracking framework that explicitly decomposes the long-term tracking task into tracking, learning and detection.
Inheritance Hierarchy

Namespace:  Emgu.CV.Tracking
Assembly:  Emgu.CV.World (in Emgu.CV.World.dll) Version: 4.1.1.3497 (4.1.1.3497)
Syntax
public class TrackerTLD : Tracker

The TrackerTLD type exposes the following members.

Constructors
  NameDescription
Public methodTrackerTLD
Creates a TLD tracker
Top
Properties
  NameDescription
Public propertyPtr
Pointer to the unmanaged object
(Inherited from UnmanagedObject.)
Top
Methods
  NameDescription
Public methodDispose
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.)
Protected methodDisposeObject
Release the unmanaged resources associated with this tracker
(Overrides TrackerDisposeObject.)
Public methodEquals (Inherited from Object.)
Protected methodFinalize
Destructor
(Inherited from DisposableObject.)
Public methodGetHashCode (Inherited from Object.)
Public methodGetType (Inherited from Object.)
Public methodInit
Initialize the tracker with a know bounding box that surrounding the target.
(Inherited from Tracker.)
Protected methodMemberwiseClone (Inherited from Object.)
Protected methodReleaseManagedResources
Release the managed resources. This function will be called during the disposal of the current object. override ride this function if you need to call the Dispose() function on any managed IDisposable object created by the current object
(Inherited from DisposableObject.)
Public methodToString (Inherited from Object.)
Public methodUpdate
Update the tracker, find the new most likely bounding box for the target.
(Inherited from Tracker.)
Top
Fields
  NameDescription
Protected field_ptr
A pointer to the unmanaged object
(Inherited from UnmanagedObject.)
Protected field_trackerPtr
The native pointer to the tracker
(Inherited from Tracker.)
Top
Remarks
The tracker follows the object from frame to frame. The detector localizes all appearances that have been observed so far and corrects the tracker if necessary. The learning estimates detector's errors and updates it to avoid these errors in the future.
See Also