Python typdef fixed. Reverted the example to MOG2. Not time to make the command…

Python typdef fixed. Reverted the example to MOG2. Not time to make the command line switch for now.

modules/python/src2/cv2.cpp

@@ -134,6 +134,7 @@ typedef Ptr<DescriptorMatcher> Ptr_DescriptorMatcher;
 typedef Ptr<BackgroundSubtractor> Ptr_BackgroundSubtractor;
 typedef Ptr<BackgroundSubtractorMOG> Ptr_BackgroundSubtractorMOG;
 typedef Ptr<BackgroundSubtractorMOG2> Ptr_BackgroundSubtractorMOG2;
+typedef Ptr<BackgroundSubtractorKNN> Ptr_BackgroundSubtractorKNN;
 typedef Ptr<BackgroundSubtractorGMG> Ptr_BackgroundSubtractorGMG;
 
 typedef Ptr<StereoMatcher> Ptr_StereoMatcher;

modules/video/doc/motion_analysis_and_object_tracking.rst

@@ -780,7 +780,7 @@ Sets the threshold on the squared distance
 
 BackgroundSubtractorKNN::getkNNSamples
 ---------------------------------------------
-Returns the k in the kNN. K is the number of samples that need to be within dist2Threshold in order to decide that that pixel is matching the kNN background model.
+Returns the number of neighbours, the k in the kNN. K is the number of samples that need to be within dist2Threshold in order to decide that that pixel is matching the kNN background model.
 
 .. ocv:function:: int BackgroundSubtractorKNN::getkNNSamples() const
 
@@ -1108,9 +1108,9 @@ Releases all inner buffers.
 
 .. [Bradski98] Bradski, G.R. "Computer Vision Face Tracking for Use in a Perceptual User Interface", Intel, 1998
 
-.. [Bradski00] Davis, J.W. and Bradski, G.R. “Motion Segmentation and Pose Recognition with Motion History Gradientsâ€?, WACV00, 2000
+.. [Bradski00] Davis, J.W. and Bradski, G.R. "Motion Segmentation and Pose Recognition with Motion History Gradients", WACV00, 2000
 
-.. [Davis97] Davis, J.W. and Bobick, A.F. “The Representation and Recognition of Action Using Temporal Templatesâ€?, CVPR97, 1997
+.. [Davis97] Davis, J.W. and Bobick, A.F. "The Representation and Recognition of Action Using Temporal Templates", CVPR97, 1997
 
 .. [EP08] Evangelidis, G.D. and Psarakis E.Z. "Parametric Image Alignment using Enhanced Correlation Coefficient Maximization", IEEE Transactions on PAMI, vol. 32, no. 10, 2008
 
@@ -1124,7 +1124,7 @@ Releases all inner buffers.
 
 .. [Lucas81] Lucas, B., and Kanade, T. An Iterative Image Registration Technique with an Application to Stereo Vision, Proc. of 7th International Joint Conference on Artificial Intelligence (IJCAI), pp. 674-679.
 
-.. [Welch95] Greg Welch and Gary Bishop “An Introduction to the Kalman Filterâ€?, 1995
+.. [Welch95] Greg Welch and Gary Bishop "An Introduction to the Kalman Filter", 1995
 
 .. [Tao2012] Michael Tao, Jiamin Bai, Pushmeet Kohli and Sylvain Paris. SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm. Computer Graphics Forum (Eurographics 2012)
 

samples/cpp/bgfg_segm.cpp

@@ -52,7 +52,7 @@ int main(int argc, const char** argv)
     namedWindow("foreground image", WINDOW_NORMAL);
     namedWindow("mean background image", WINDOW_NORMAL);
 
-    Ptr<BackgroundSubtractor> bg_model = createBackgroundSubtractorKNN();
+    Ptr<BackgroundSubtractor> bg_model = createBackgroundSubtractorMOG2();
 
     Mat img, fgmask, fgimg;