Contains parameters to describe the object which is tracked, and some functions to update it. More...

Detailed Description

Contains parameters to describe the object which is tracked, and some functions to update it.

Definition at line 33 of file klt.hpp.

#include <klt.hpp>

Public Member Functions
	TrackedObject ()
	confidence distance estimated by the kalman filter
int	calcState (KLT_FeatureList fl, bool first=false)
	calculate the state of the object from the feature list (position, scope, boundingBox, etc)
void	detectLandscape (KLT_FeatureList fl)
	detect and eliminate features which are not on the object (with an heuristic on displacements and positions)
Public Attributes
KLT_FeatureTable	ft
int	curFrame
	table with an historical of all features, limited to 96 frames
int	scope
	the current frame number in the feature table (frame modulo 96)
int	prevScope
int	boundingBox [4]
	longer distance from one feature to
int	pos [2]
	upperleft and downright corners of the
int	maxDisplacement
	position of the object in pixels in the image
int	maxAccel
	the maximum displacement in pixels from
int	measureConfidence
	the maximum acceleration of the object in
int	initSpeedConfidence
	the confidence in the measure
int	estimatedPos [2]
	the confidence in the initial speed,
int	estimatedSpeed [2]
	position estimated by the kalman filter
int	confidenceDist
	speed estimated by the kalman filter

Constructor & Destructor Documentation

jafar::klt::TrackedObject::TrackedObject ( ) [inline]

confidence distance estimated by the kalman filter

default constructor

Definition at line 77 of file klt.hpp.

int jafar::klt::TrackedObject::calcState	(	KLT_FeatureList	fl,
		bool	first = `false`
	)

calculate the state of the object from the feature list (position, scope, boundingBox, etc)

Parameters:

fl	the feature list
first	specify if this is the initial selection

void jafar::klt::TrackedObject::detectLandscape ( KLT_FeatureList fl )

detect and eliminate features which are not on the object (with an heuristic on displacements and positions)

Parameters:

fl	the feature list

The documentation for this class was generated from the following file: