TrackerFeatures tracks features using OpenCV's cvGoodFeaturesToTrack and cvCalcOpticalFlowPyrLK More...

#include <TrackerFeatures.h>

Inheritance diagram for alvar::TrackerFeatures:

Public Member Functions
int	AddFeatures (IplImage *mask=NULL)
	add features to the previously tracked frame if there are less than min_features
void	ChangeSettings (int _max_features=100, int _min_features=90, double _quality_level=0.01, double _min_distance=10)
	Change settings while running.
bool	DelFeature (int index)
	Stop tracking the identified feature (with index for features array)
bool	DelFeatureId (int id)
	Stop tracking the identified feature (with feature id)
IplImage *	NewFeatureMask ()
	Create and get the pointer to new_features_mask.
int	Purge ()
	Purge features that are considerably closer than the defined min_distance.
void	Reset ()
	Reset.
double	Reset (IplImage img, IplImage mask)
	Reset track features on specified mask area.
double	Track (IplImage *img)
	Track features.
double	Track (IplImage *img, bool add_features)
	Track features.
double	Track (IplImage img, IplImage mask)
	Track features.
	TrackerFeatures (int _max_features=100, int _min_features=90, double _quality_level=0.01, double _min_distance=10, int _pyr_levels=1, int _win_size=3)
	Constructor for TrackerFeatures tracks features using OpenCV's cvGoodFeaturesToTrack and cvCalcOpticalFlowPyrLK.
	~TrackerFeatures ()
	Destructor.
Public Attributes
int	feature_count
	Track result: count of current features
CvPoint2D32f *	features
	Track result: current features
int *	ids
	Track result: ID:s for current features
int	prev_feature_count
	Track result: count of previous features
CvPoint2D32f *	prev_features
	Track result: previous features
int *	prev_ids
	Track result: ID:s for previous features
Protected Member Functions
double	TrackHid (IplImage img, IplImage mask=NULL, bool add_features=true)
	Reset track features on specified mask area.
Protected Attributes
int	frame_count
IplImage *	gray
IplImage *	img_eig
IplImage *	img_tmp
IplImage *	mask
int	max_features
double	min_distance
int	min_features
int	next_id
IplImage *	prev_gray
IplImage *	prev_pyramid
int	pyr_levels
IplImage *	pyramid
double	quality_level
char *	status
int	win_size
int	x_res
int	y_res

Detailed Description

TrackerFeatures tracks features using OpenCV's cvGoodFeaturesToTrack and cvCalcOpticalFlowPyrLK

Examples:: SampleTrack.cpp.

Definition at line 40 of file TrackerFeatures.h.

Constructor & Destructor Documentation

alvar::TrackerFeatures::TrackerFeatures	(	int	_max_features = `100`,
		int	_min_features = `90`,
		double	_quality_level = `0.01`,
		double	_min_distance = `10`,
		int	_pyr_levels = `1`,
		int	_win_size = `3`
	)

Constructor for TrackerFeatures tracks features using OpenCV's cvGoodFeaturesToTrack and cvCalcOpticalFlowPyrLK.

Parameters:

_max_features	The maximum amount of features to be tracked
_min_features	The minimum amount of features. The featureset is filled up when the number of features is lower than this.
_quality_level	Multiplier for the maxmin eigenvalue; specifies minimal accepted quality of image corners.
_min_distance	Limit, specifying minimum possible distance between returned corners; Euclidian distance is used. If 0 given we use default value aiming for uniform cover: _min_distance = 0.8sqrt(x_resy_res/max_features))
_pyr_levels	Number of pyramid levels

Definition at line 32 of file TrackerFeatures.cpp.

alvar::TrackerFeatures::~TrackerFeatures ( )

Destructor.

Definition at line 43 of file TrackerFeatures.cpp.

Member Function Documentation

int alvar::TrackerFeatures::AddFeatures ( IplImage * mask = NULL )

add features to the previously tracked frame if there are less than min_features

Definition at line 227 of file TrackerFeatures.cpp.

void alvar::TrackerFeatures::ChangeSettings	(	int	_max_features = `100`,
		int	_min_features = `90`,
		double	_quality_level = `0.01`,
		double	_min_distance = `10`
	)