tracking.hpp File Reference

The Object and Feature Tracking. More...

#include "opencv2/core/core.hpp"
#include "opencv2/imgproc/imgproc.hpp"

Classes
struct	CvKalman
class	cv::KalmanFilter
class	cv::DenseOpticalFlow

Namespaces
	cv

Macros
#define	CV_LKFLOW_PYR_A_READY   1
#define	CV_LKFLOW_PYR_B_READY   2
#define	CV_LKFLOW_INITIAL_GUESSES   4
#define	CV_LKFLOW_GET_MIN_EIGENVALS   8
#define	cvKalmanUpdateByTime   cvKalmanPredict
#define	cvKalmanUpdateByMeasurement   cvKalmanCorrect

Enumerations
enum	{ cv::OPTFLOW_USE_INITIAL_FLOW = 4, cv::OPTFLOW_LK_GET_MIN_EIGENVALS = 8, cv::OPTFLOW_FARNEBACK_GAUSSIAN = 256 }

Functions
void	cvCalcOpticalFlowPyrLK (const CvArr *prev, const CvArr *curr, CvArr *prev_pyr, CvArr *curr_pyr, const CvPoint2D32f *prev_features, CvPoint2D32f *curr_features, int count, CvSize win_size, int level, char *status, float *track_error, CvTermCriteria criteria, int flags)
void	cvCalcAffineFlowPyrLK (const CvArr *prev, const CvArr *curr, CvArr *prev_pyr, CvArr *curr_pyr, const CvPoint2D32f *prev_features, CvPoint2D32f *curr_features, float *matrices, int count, CvSize win_size, int level, char *status, float *track_error, CvTermCriteria criteria, int flags)
int	cvEstimateRigidTransform (const CvArr *A, const CvArr *B, CvMat *M, int full_affine)
void	cvCalcOpticalFlowFarneback (const CvArr *prev, const CvArr *next, CvArr *flow, double pyr_scale, int levels, int winsize, int iterations, int poly_n, double poly_sigma, int flags)
void	cvUpdateMotionHistory (const CvArr *silhouette, CvArr *mhi, double timestamp, double duration)
void	cvCalcMotionGradient (const CvArr *mhi, CvArr *mask, CvArr *orientation, double delta1, double delta2, int aperture_size CV_DEFAULT(3))
double	cvCalcGlobalOrientation (const CvArr *orientation, const CvArr *mask, const CvArr *mhi, double timestamp, double duration)
CvSeq *	cvSegmentMotion (const CvArr *mhi, CvArr *seg_mask, CvMemStorage *storage, double timestamp, double seg_thresh)
int	cvCamShift (const CvArr *prob_image, CvRect window, CvTermCriteria criteria, CvConnectedComp *comp, CvBox2D *box CV_DEFAULT(NULL))
int	cvMeanShift (const CvArr *prob_image, CvRect window, CvTermCriteria criteria, CvConnectedComp *comp)
CvKalman *	cvCreateKalman (int dynam_params, int measure_params, int control_params CV_DEFAULT(0))
void	cvReleaseKalman (CvKalman **kalman)
const CvMat *	cvKalmanPredict (CvKalman *kalman, const CvMat *control CV_DEFAULT(NULL))
const CvMat *	cvKalmanCorrect (CvKalman *kalman, const CvMat *measurement)
void	cv::updateMotionHistory (InputArray silhouette, InputOutputArray mhi, double timestamp, double duration)
	updates motion history image using the current silhouette More...
void	cv::calcMotionGradient (InputArray mhi, OutputArray mask, OutputArray orientation, double delta1, double delta2, int apertureSize=3)
	computes the motion gradient orientation image from the motion history image More...
double	cv::calcGlobalOrientation (InputArray orientation, InputArray mask, InputArray mhi, double timestamp, double duration)
	computes the global orientation of the selected motion history image part More...
void	cv::segmentMotion (InputArray mhi, OutputArray segmask, CV_OUT vector< Rect > &boundingRects, double timestamp, double segThresh)
RotatedRect	cv::CamShift (InputArray probImage, CV_OUT CV_IN_OUT Rect &window, TermCriteria criteria)
	updates the object tracking window using CAMSHIFT algorithm More...
int	cv::meanShift (InputArray probImage, CV_OUT CV_IN_OUT Rect &window, TermCriteria criteria)
	updates the object tracking window using meanshift algorithm More...
int	cv::buildOpticalFlowPyramid (InputArray img, OutputArrayOfArrays pyramid, Size winSize, int maxLevel, bool withDerivatives=true, int pyrBorder=BORDER_REFLECT_101, int derivBorder=BORDER_CONSTANT, bool tryReuseInputImage=true)
	constructs a pyramid which can be used as input for calcOpticalFlowPyrLK More...
void	cv::calcOpticalFlowPyrLK (InputArray prevImg, InputArray nextImg, InputArray prevPts, CV_OUT InputOutputArray nextPts, OutputArray status, OutputArray err, Size winSize=Size(21, 21), int maxLevel=3, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01), int flags=0, double minEigThreshold=1e-4)
	computes sparse optical flow using multi-scale Lucas-Kanade algorithm More...
void	cv::calcOpticalFlowFarneback (InputArray prev, InputArray next, CV_OUT InputOutputArray flow, double pyr_scale, int levels, int winsize, int iterations, int poly_n, double poly_sigma, int flags)
	computes dense optical flow using Farneback algorithm More...
Mat	cv::estimateRigidTransform (InputArray src, InputArray dst, bool fullAffine)
	estimates the best-fit Euqcidean, similarity, affine or perspective transformation More...
void	cv::calcOpticalFlowSF (Mat &from, Mat &to, Mat &flow, int layers, int averaging_block_size, int max_flow)
	computes dense optical flow using Simple Flow algorithm More...
void	cv::calcOpticalFlowSF (Mat &from, Mat &to, Mat &flow, int layers, int averaging_block_size, int max_flow, double sigma_dist, double sigma_color, int postprocess_window, double sigma_dist_fix, double sigma_color_fix, double occ_thr, int upscale_averaging_radius, double upscale_sigma_dist, double upscale_sigma_color, double speed_up_thr)
Ptr< DenseOpticalFlow >	cv::createOptFlow_DualTVL1 ()

Detailed Description

The Object and Feature Tracking.

Macro Definition Documentation

CV_LKFLOW_GET_MIN_EIGENVALS

#define CV_LKFLOW_GET_MIN_EIGENVALS   8

CV_LKFLOW_INITIAL_GUESSES

#define CV_LKFLOW_INITIAL_GUESSES   4

CV_LKFLOW_PYR_A_READY

#define CV_LKFLOW_PYR_A_READY   1

CV_LKFLOW_PYR_B_READY

#define CV_LKFLOW_PYR_B_READY   2

cvKalmanUpdateByMeasurement

#define cvKalmanUpdateByMeasurement   cvKalmanCorrect

cvKalmanUpdateByTime

#define cvKalmanUpdateByTime   cvKalmanPredict

Function Documentation

cvCalcAffineFlowPyrLK()

void cvCalcAffineFlowPyrLK	(	const CvArr *	prev,
		const CvArr *	curr,
		CvArr *	prev_pyr,
		CvArr *	curr_pyr,
		const CvPoint2D32f *	prev_features,
		CvPoint2D32f *	curr_features,
		float *	matrices,
		int	count,
		CvSize	win_size,
		int	level,
		char *	status,
		float *	track_error,
		CvTermCriteria	criteria,
		int	flags
	)

cvCalcGlobalOrientation()

double cvCalcGlobalOrientation	(	const CvArr *	orientation,
		const CvArr *	mask,
		const CvArr *	mhi,
		double	timestamp,
		double	duration
	)

cvCalcMotionGradient()

void cvCalcMotionGradient	(	const CvArr *	mhi,
		CvArr *	mask,
		CvArr *	orientation,
		double	delta1,
		double	delta2,
		int aperture_size	CV_DEFAULT3
	)

cvCalcOpticalFlowFarneback()

void cvCalcOpticalFlowFarneback	(	const CvArr *	prev,
		const CvArr *	next,
		CvArr *	flow,
		double	pyr_scale,
		int	levels,
		int	winsize,
		int	iterations,
		int	poly_n,
		double	poly_sigma,
		int	flags
	)

cvCalcOpticalFlowPyrLK()

void cvCalcOpticalFlowPyrLK	(	const CvArr *	prev,
		const CvArr *	curr,
		CvArr *	prev_pyr,
		CvArr *	curr_pyr,
		const CvPoint2D32f *	prev_features,
		CvPoint2D32f *	curr_features,
		int	count,
		CvSize	win_size,
		int	level,
		char *	status,
		float *	track_error,
		CvTermCriteria	criteria,
		int	flags
	)

cvCamShift()

int cvCamShift	(	const CvArr *	prob_image,
		CvRect	window,
		CvTermCriteria	criteria,
		CvConnectedComp *	comp,
		CvBox2D *box	CV_DEFAULTNULL
	)

cvCreateKalman()

CvKalman* cvCreateKalman	(	int	dynam_params,
		int	measure_params,
		int control_params	CV_DEFAULT0
	)

cvEstimateRigidTransform()

int cvEstimateRigidTransform	(	const CvArr *	A,
		const CvArr *	B,
		CvMat *	M,
		int	full_affine
	)

cvKalmanCorrect()

const CvMat* cvKalmanCorrect	(	CvKalman *	kalman,
		const CvMat *	measurement
	)

cvKalmanPredict()

const CvMat* cvKalmanPredict	(	CvKalman *	kalman,
		const CvMat *control	CV_DEFAULTNULL
	)

cvMeanShift()

int cvMeanShift	(	const CvArr *	prob_image,
		CvRect	window,
		CvTermCriteria	criteria,
		CvConnectedComp *	comp
	)

cvReleaseKalman()

void cvReleaseKalman

(

CvKalman **

kalman

)

cvSegmentMotion()

CvSeq* cvSegmentMotion	(	const CvArr *	mhi,
		CvArr *	seg_mask,
		CvMemStorage *	storage,
		double	timestamp,
		double	seg_thresh
	)

cvUpdateMotionHistory()

void cvUpdateMotionHistory	(	const CvArr *	silhouette,
		CvArr *	mhi,
		double	timestamp,
		double	duration
	)