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Code Packages Releases Wiki Activity

the first round of cleaning up the RST docs

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This commit is contained in:
Vadim Pisarevsky
2011-02-28 21:26:43 +00:00
parent eb8c0b8b4b
commit 4bb893aa9f
48 changed files with 1664 additions and 1649 deletions
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modules/video/doc/motion_analysis_and_object_tracking.rst
+15 -15
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@@ -5,9 +5,9 @@ Motion Analysis and Object Tracking
.. index:: calcOpticalFlowPyrLK
cv::calcOpticalFlowPyrLK
calcOpticalFlowPyrLK
------------------------
.. cfunction:: void calcOpticalFlowPyrLK( const Mat\& prevImg, const Mat\& nextImg, const vector<Point2f>\& prevPts, vector<Point2f>\& nextPts, vector<uchar>\& status, 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 )
.. c:function:: void calcOpticalFlowPyrLK( const Mat\& prevImg, const Mat\& nextImg, const vector<Point2f>\& prevPts, vector<Point2f>\& nextPts, vector<uchar>\& status, 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 )
Calculates the optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids
@@ -38,9 +38,9 @@ Bouguet00
.. index:: calcOpticalFlowFarneback
cv::calcOpticalFlowFarneback
calcOpticalFlowFarneback
----------------------------
.. cfunction:: void calcOpticalFlowFarneback( const Mat\& prevImg, const Mat\& nextImg, Mat\& flow, double pyrScale, int levels, int winsize, int iterations, int polyN, double polySigma, int flags )
.. c:function:: void calcOpticalFlowFarneback( const Mat\& prevImg, const Mat\& nextImg, Mat\& flow, double pyrScale, int levels, int winsize, int iterations, int polyN, double polySigma, int flags )
Computes dense optical flow using Gunnar Farneback's algorithm
@@ -73,9 +73,9 @@ The function finds optical flow for each ``prevImg`` pixel using the alorithm so
.. index:: updateMotionHistory
cv::updateMotionHistory
updateMotionHistory
-----------------------
.. cfunction:: void updateMotionHistory( const Mat\& silhouette, Mat\& mhi, double timestamp, double duration )
.. c:function:: void updateMotionHistory( const Mat\& silhouette, Mat\& mhi, double timestamp, double duration )
Updates the motion history image by a moving silhouette.
@@ -105,9 +105,9 @@ See also the OpenCV sample ``motempl.c`` that demonstrates the use of all the mo
.. index:: calcMotionGradient
cv::calcMotionGradient
calcMotionGradient
----------------------
.. cfunction:: void calcMotionGradient( const Mat\& mhi, Mat\& mask, Mat\& orientation, double delta1, double delta2, int apertureSize=3 )
.. c:function:: void calcMotionGradient( const Mat\& mhi, Mat\& mask, Mat\& orientation, double delta1, double delta2, int apertureSize=3 )
Calculates the gradient orientation of a motion history image.
@@ -138,9 +138,9 @@ The function calculates the gradient orientation at each pixel
.. index:: calcGlobalOrientation
cv::calcGlobalOrientation
calcGlobalOrientation
-------------------------
.. cfunction:: double calcGlobalOrientation( const Mat\& orientation, const Mat\& mask, const Mat\& mhi, double timestamp, double duration )
.. c:function:: double calcGlobalOrientation( const Mat\& orientation, const Mat\& mask, const Mat\& mhi, double timestamp, double duration )
Calculates the global motion orientation in some selected region.
@@ -158,9 +158,9 @@ weight and the motion occurred in the past has smaller weight, as recorded in ``
.. index:: CamShift
cv::CamShift
CamShift
------------
.. cfunction:: RotatedRect CamShift( const Mat\& probImage, Rect\& window, TermCriteria criteria )
.. c:function:: RotatedRect CamShift( const Mat\& probImage, Rect\& window, TermCriteria criteria )
Finds the object center, size, and orientation
@@ -178,9 +178,9 @@ See the OpenCV sample ``camshiftdemo.c`` that tracks colored objects.
.. index:: meanShift
cv::meanShift
meanShift
-------------
.. cfunction:: int meanShift( const Mat\& probImage, Rect\& window, TermCriteria criteria )
.. c:function:: int meanShift( const Mat\& probImage, Rect\& window, TermCriteria criteria )
Finds the object on a back projection image.
@@ -203,7 +203,7 @@ The function implements iterative object search algorithm. It takes the object b
KalmanFilter
------------
.. ctype:: KalmanFilter
.. c:type:: KalmanFilter
Kalman filter class ::