The Object and Feature Tracking. More...

Classes
struct	CvKalman
class	cv::KalmanFilter
	Kalman filter. More...
Namespaces
namespace	cv
	Namespace where all the C++ OpenCV functionality resides.
Typedefs
typedef struct CvKalman	CvKalman
Enumerations
enum	{ cv::OPTFLOW_USE_INITIAL_FLOW = CV_LKFLOW_INITIAL_GUESSES, cv::OPTFLOW_LK_GET_MIN_EIGENVALS = CV_LKFLOW_GET_MIN_EIGENVALS, cv::OPTFLOW_FARNEBACK_GAUSSIAN = 256 }
Functions
	CVAPI (void) cvCalcOpticalFlowPyrLK(const CvArr *prev
	CVAPI (int) cvEstimateRigidTransform(const CvArr *A
CvArr CvArr double double int aperture_size	CV_DEFAULT (3))
	CVAPI (double) cvCalcGlobalOrientation(const CvArr *orientation
	CVAPI (CvSeq ) cvSegmentMotion(const CvArr mhi
CvRect CvTermCriteria CvConnectedComp CvBox2D *box	CV_DEFAULT (NULL))
	CVAPI (CvKalman *) cvCreateKalman(int dynam_params
int int control_params	CV_DEFAULT (0))
	CVAPI (const CvMat ) cvKalmanPredict(CvKalman kalman
CV_EXPORTS_W void	cv::updateMotionHistory (InputArray silhouette, InputOutputArray mhi, double timestamp, double duration)
	updates motion history image using the current silhouette
CV_EXPORTS_W 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
CV_EXPORTS_W double	cv::calcGlobalOrientation (InputArray orientation, InputArray mask, InputArray mhi, double timestamp, double duration)
	computes the global orientation of the selected motion history image part
CV_EXPORTS_W void	cv::segmentMotion (InputArray mhi, OutputArray segmask, CV_OUT vector< Rect > &boundingRects, double timestamp, double segThresh)
CV_EXPORTS_W RotatedRect	cv::CamShift (InputArray probImage, CV_OUT CV_IN_OUT Rect &window, TermCriteria criteria)
	updates the object tracking window using CAMSHIFT algorithm
CV_EXPORTS_W int	cv::meanShift (InputArray probImage, CV_OUT CV_IN_OUT Rect &window, TermCriteria criteria)
	updates the object tracking window using meanshift algorithm
CV_EXPORTS_W 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
CV_EXPORTS_W 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
CV_EXPORTS_W 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
CV_EXPORTS_W Mat	cv::estimateRigidTransform (InputArray src, InputArray dst, bool fullAffine)
	estimates the best-fit Euqcidean, similarity, affine or perspective transformation
CV_EXPORTS_W 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
CV_EXPORTS_W 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)
Variables
const CvArr *	curr
const CvArr CvArr *	prev_pyr
const CvArr CvArr CvArr *	curr_pyr
const CvArr CvArr CvArr const CvPoint2D32f *	prev_features
const CvArr CvArr CvArr const CvPoint2D32f CvPoint2D32f *	curr_features
const CvArr CvArr CvArr const CvPoint2D32f CvPoint2D32f int	count
const CvArr CvArr CvArr const CvPoint2D32f CvPoint2D32f int CvSize	win_size
const CvArr CvArr CvArr const CvPoint2D32f CvPoint2D32f int CvSize int	level
const CvArr CvArr CvArr const CvPoint2D32f CvPoint2D32f int CvSize int char *	status
const CvArr CvArr CvArr const CvPoint2D32f CvPoint2D32f int CvSize int char float *	track_error
const CvArr CvArr CvArr const CvPoint2D32f CvPoint2D32f int CvSize int char float CvTermCriteria	criteria
const CvArr CvArr CvArr const CvPoint2D32f CvPoint2D32f int CvSize int char float CvTermCriteria int	flags
const CvArr CvArr CvArr const CvPoint2D32f CvPoint2D32f float *	matrices
const CvArr *	B
const CvArr CvMat *	M
const CvArr CvMat int	full_affine
const CvArr *	next
const CvArr CvArr *	flow
const CvArr CvArr double	pyr_scale
const CvArr CvArr double int	levels
const CvArr CvArr double int int	winsize
const CvArr CvArr double int int int	iterations
const CvArr CvArr double int int int int	poly_n
const CvArr CvArr double int int int int double	poly_sigma
CvArr *	mhi
CvArr double	timestamp
CvArr double double	duration
CvArr *	mask
CvArr CvArr *	orientation
CvArr CvArr double	delta1
CvArr CvArr double double	delta2
CvArr *	seg_mask
CvArr CvMemStorage *	storage
CvArr CvMemStorage double double	seg_thresh
CvRect	window
CvRect CvTermCriteria CvConnectedComp *	comp
int	measure_params
const CvMat *	measurement