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

#define CV_LKFLOW_GET_MIN_EIGENVALS 8

#define CV_LKFLOW_INITIAL_GUESSES 4

#define CV_LKFLOW_PYR_A_READY 1

#define CV_LKFLOW_PYR_B_READY 2

#define cvKalmanUpdateByMeasurement cvKalmanCorrect

#define cvKalmanUpdateByTime cvKalmanPredict

Function Documentation

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
	)

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

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

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 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
	)

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

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

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

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

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

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

void cvReleaseKalman ( CvKalman ** kalman )

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

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

Classes

Namespaces

Macros

Enumerations

Functions

Detailed Description

Macro Definition Documentation

Function Documentation