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Centre for Vision, Speech & Signal Processing
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ClusterTrackC::ClusterTrackC(const NumClassifyUnsupervisedC &)
ClusterTrackC::Group(const DListC &,DListC &)
ClusterTrackC
 
Performs motion cluster tracking, considers only current frame motion
 
include "amma/DERA/ClusterTrack.hh"
User Level:Default
Library:DERARegTrack
Example:exIndex.cc
Section:Applications.Image Processing.DERA Small Target Detection
In Scope:std

Comments:
This class attempts to find groups of objects moving in the same direction by performing motion vector clustering using the algorithm specified in the constructor. It iteratively performs clustering with an increasing number of clusters until a cluster criterian function is satisfied. A cluster value is then stored in each of the RegBoundaryC objects.

Variables:
NumClassifyUnsupervisedC _cluster;
indIndex of types of intererest.

Methods:
ClusterTrackC(const NumClassifyUnsupervisedC & cluster)
Constructor
indIndex of types of intererest.

const DListC<RegBoundaryC> Group(const DListC<RegBoundaryC> & train,DListC<RegBoundaryC> & list)
Classifies regions into groups of similar motion
indIndex of types of intererest.


Programmer:Robert Crida, Documentation by CxxDoc: Tue Mar 20 10:49:27 2001