/home/grier/opencv/opencv/modules/video/include/opencv2/video/tracking.hpp File Reference

The Object and Feature Tracking. More...

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Classes
struct	CvKalman
class	cv::KalmanFilter
Namespaces
namespace	cv
Defines
#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
Typedefs
typedef struct CvKalman	CvKalman
Enumerations
enum	{ cv::OPTFLOW_USE_INITIAL_FLOW = 4, cv::OPTFLOW_FARNEBACK_GAUSSIAN = 256 }
Functions
CV_EXPORTS_W double	cv::calcGlobalOrientation (const Mat &orientation, const Mat &mask, const Mat &mhi, double timestamp, double duration)
	computes the global orientation of the selected motion history image part
CV_EXPORTS_W void	cv::calcMotionGradient (const Mat &mhi, CV_OUT Mat &mask, CV_OUT Mat &orientation, double delta1, double delta2, int apertureSize=3)
	computes the motion gradient orientation image from the motion history image
CV_EXPORTS_W void	cv::calcOpticalFlowFarneback (const Mat &prev, const Mat &next, CV_OUT Mat &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
CV_EXPORTS_W void	cv::calcOpticalFlowPyrLK (const Mat &prevImg, const Mat &nextImg, const vector< Point2f > &prevPts, CV_OUT vector< Point2f > &nextPts, CV_OUT vector< uchar > &status, CV_OUT vector< float > &err, Size winSize=Size(15, 15), int maxLevel=3, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01), double derivLambda=0.5, int flags=0)
	computes sparse optical flow using multi-scale Lucas-Kanade algorithm
CV_EXPORTS_W RotatedRect	cv::CamShift (const Mat &probImage, CV_IN_OUT Rect &window, TermCriteria criteria)
	updates the object tracking window using CAMSHIFT algorithm
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_DEFAULT(3))
void	cvCalcOpticalFlowBM (const CvArr *prev, const CvArr *curr, CvSize block_size, CvSize shift_size, CvSize max_range, int use_previous, CvArr *velx, CvArr *vely)
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	cvCalcOpticalFlowHS (const CvArr *prev, const CvArr *curr, int use_previous, CvArr *velx, CvArr *vely, double lambda, CvTermCriteria criteria)
void	cvCalcOpticalFlowLK (const CvArr *prev, const CvArr *curr, CvSize win_size, CvArr *velx, CvArr *vely)
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_DEFAULT(NULL))
CvKalman *	cvCreateKalman (int dynam_params, int measure_params, int control_params CV_DEFAULT(0))
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_DEFAULT(NULL))
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)
CV_EXPORTS_W int	cv::meanShift (const Mat &probImage, CV_IN_OUT Rect &window, TermCriteria criteria)
	updates the object tracking window using meanshift algorithm
CV_EXPORTS_W void	cv::updateMotionHistory (const Mat &silhouette, Mat &mhi, double timestamp, double duration)
	updates motion history image using the current silhouette

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Detailed Description

The Object and Feature Tracking.

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Define 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

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Typedef Documentation

typedef struct CvKalman CvKalman

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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 cvCalcOpticalFlowBM	(	const CvArr *	prev,
		const CvArr *	curr,
		CvSize	block_size,
		CvSize	shift_size,
		CvSize	max_range,
		int	use_previous,
		CvArr *	velx,
		CvArr *	vely
	)

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 cvCalcOpticalFlowHS	(	const CvArr *	prev,
		const CvArr *	curr,
		int	use_previous,
		CvArr *	velx,
		CvArr *	vely,
		double	lambda,
		CvTermCriteria	criteria
	)

void cvCalcOpticalFlowLK	(	const CvArr *	prev,
		const CvArr *	curr,
		CvSize	win_size,
		CvArr *	velx,
		CvArr *	vely
	)

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
	)