Merge pull request #9235 from sturkmen72:patch-3

modules/video/include/opencv2/video/tracking.hpp

@@ -78,7 +78,9 @@ See the OpenCV sample camshiftdemo.c that tracks colored objects.
  */
 CV_EXPORTS_W RotatedRect CamShift( InputArray probImage, CV_IN_OUT Rect& window,
                                    TermCriteria criteria );
-
+/** @example camshiftdemo.cpp
+An example using the mean-shift tracking algorithm
+*/
 /** @brief Finds an object on a back projection image.
 
 @param probImage Back projection of the object histogram. See calcBackProject for details.
@@ -97,8 +99,6 @@ projection and remove the noise. For example, you can do this by retrieving conn
 with findContours , throwing away contours with small area ( contourArea ), and rendering the
 remaining contours with drawContours.
 
-@note
--   A mean-shift tracking sample can be found at opencv_source_code/samples/cpp/camshiftdemo.cpp
  */
 CV_EXPORTS_W int meanShift( InputArray probImage, CV_IN_OUT Rect& window, TermCriteria criteria );
 
@@ -123,6 +123,9 @@ CV_EXPORTS_W int buildOpticalFlowPyramid( InputArray img, OutputArrayOfArrays py
                                           int derivBorder = BORDER_CONSTANT,
                                           bool tryReuseInputImage = true );
 
+/** @example lkdemo.cpp
+An example using the Lucas-Kanade optical flow algorithm
+ */
 /** @brief Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
 pyramids.
 
@@ -258,6 +261,10 @@ enum
     MOTION_HOMOGRAPHY  = 3
 };
 
+/** @example image_alignment.cpp
+An example using the image alignment ECC algorithm
+ */
+
 /** @brief Finds the geometric transform (warp) between two images in terms of the ECC criterion @cite EP08 .
 
 @param templateImage single-channel template image; CV_8U or CV_32F array.
@@ -313,25 +320,20 @@ CV_EXPORTS_W double findTransformECC( InputArray templateImage, InputArray input
                                       TermCriteria criteria = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 50, 0.001),
                                       InputArray inputMask = noArray());
 
+/** @example kalman.cpp
+An example using the standard Kalman filter
+*/
 /** @brief Kalman filter class.
 
 The class implements a standard Kalman filter <http://en.wikipedia.org/wiki/Kalman_filter>,
 @cite Welch95 . However, you can modify transitionMatrix, controlMatrix, and measurementMatrix to get
-an extended Kalman filter functionality. See the OpenCV sample kalman.cpp.
-
-@note
-
--   An example using the standard Kalman filter can be found at
-    opencv_source_code/samples/cpp/kalman.cpp
+an extended Kalman filter functionality.
+@note In C API when CvKalman\* kalmanFilter structure is not needed anymore, it should be released
+with cvReleaseKalman(&kalmanFilter)
  */
 class CV_EXPORTS_W KalmanFilter
 {
 public:
-    /** @brief The constructors.
-
-    @note In C API when CvKalman\* kalmanFilter structure is not needed anymore, it should be released
-    with cvReleaseKalman(&kalmanFilter)
-     */
     CV_WRAP KalmanFilter();
     /** @overload
     @param dynamParams Dimensionality of the state.