Merge branch 'master' into merge-2.4

Conflicts:
	doc/tutorials/definitions/tocDefinitions.rst

doc/conf.py

@@ -416,5 +416,9 @@ extlinks = {
             'brute_force_matcher' : ('http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_descriptor_matchers.html?highlight=bruteforcematcher#bruteforcematcher%s', None ),
             'cascade_classifier' : ('http://docs.opencv.org/modules/objdetect/doc/cascade_classification.html?highlight=cascadeclassifier#cascadeclassifier%s', None ),
             'cascade_classifier_load' : ('http://docs.opencv.org/modules/objdetect/doc/cascade_classification.html?highlight=load#cascadeclassifier-load%s', None ),
-            'cascade_classifier_detect_multiscale' : ('http://docs.opencv.org/modules/objdetect/doc/cascade_classification.html?highlight=detectmultiscale#cascadeclassifier-detectmultiscale%s', None )
+            'cascade_classifier_detect_multiscale' : ('http://docs.opencv.org/modules/objdetect/doc/cascade_classification.html?highlight=detectmultiscale#cascadeclassifier-detectmultiscale%s', None ),
+            'background_subtractor' : ('http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html?highlight=backgroundsubtractor#backgroundsubtractor%s', None),
+            'background_subtractor_mog' : ('http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html?highlight=backgroundsubtractorMOG#backgroundsubtractormog%s', None),
+            'background_subtractor_mog_two' : ('http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html?highlight=backgroundsubtractorMOG2#backgroundsubtractormog2%s', None),
+            'video_capture' : ('http://docs.opencv.org/modules/highgui/doc/reading_and_writing_images_and_video.html?highlight=videocapture#videocapture%s', None)
            }

doc/py_tutorials/py_video/py_bg_subtraction/py_bg_subtraction.rst

@@ -1,4 +1,4 @@
-.. _background_subtraction:
+.. _py_background_subtraction:
 
 
 Background Subtraction

doc/py_tutorials/py_video/py_table_of_contents_video/py_table_of_contents_video.rst

@@ -32,7 +32,7 @@ Video Analysis
                  :width:  90pt
 
 
-*  :ref:`background_subtraction`
+*  :ref:`py_background_subtraction`
 
   .. tabularcolumns:: m{100pt} m{300pt}
   .. cssclass:: toctableopencv

doc/tutorials/definitions/tocDefinitions.rst

@@ -12,3 +12,4 @@
 .. |Author_AndreyP| unicode:: Andrey U+0020 Pavlenko
 .. |Author_AlexS| unicode:: Alexander U+0020 Smorkalov
 .. |Author_BarisD| unicode:: Bar U+0131 U+015F U+0020 Evrim U+0020 Demir U+00F6 z
+.. |Author_DomenicoB| unicode:: Domenico U+0020 Daniele U+0020 Bloisi

doc/tutorials/video/background_subtraction/background_subtraction.rst

@@ -0,0 +1,388 @@
+.. _Background_Subtraction:
+
+How to Use Background Subtraction Methods
+*****************************************
+
+* Background subtraction (BS) is a common and widely used technique for generating a foreground mask (namely, a binary image containing the pixels belonging to moving objects in the scene) by using static cameras.
+
+* As the name suggests, BS calculates the foreground mask performing a subtraction between the current frame and a background model, containing the static part of the scene or, more in general, everything that can be considered as background given the characteristics of the observed scene.
+
+  .. image:: images/Background_Subtraction_Tutorial_Scheme.png
+     :alt: Background Subtraction - General Scheme
+     :align: center
+
+* Background modeling consists of two main steps:
+
+  #. Background Initialization;
+  #. Background Update.
+
+  In the first step, an initial model of the background is computed, while in the second step that model is updated in order to adapt to possible changes in the scene.
+
+* In this tutorial we will learn how to perform BS by using OpenCV. As input, we will use data coming from the publicly available data set `Background Models Challenge (BMC) <http://bmc.univ-bpclermont.fr/>`_ .
+
+Goals
+======
+
+In this tutorial you will learn how to:
+
+  #. Read data from videos by using :video_capture:`VideoCapture <>` or image sequences by using :imread:`imread <>`;
+  #. Create and update the background model by using :background_subtractor:`BackgroundSubtractor <>` class;
+  #. Get and show the foreground mask by using :imshow:`imshow <>`;
+  #. Save the output by using :imwrite:`imwrite <>` to quantitatively evaluate the results.
+
+Code
+=====
+
+In the following you can find the source code. We will let the user chose to process either a video file or a sequence of images.
+
+* Two different methods are used to generate two foreground masks:
+    #. :background_subtractor_mog:`MOG <>`
+    #. :background_subtractor_mog_two:`MOG2 <>`
+
+The results as well as the input data are shown on the screen.
+
+.. code-block:: cpp
+
+  //opencv
+  #include <opencv2/highgui/highgui.hpp>
+  #include <opencv2/video/background_segm.hpp>
+  //C
+  #include <stdio.h>
+  //C++
+  #include <iostream>
+  #include <sstream>
+
+  using namespace cv;
+  using namespace std;
+
+  //global variables
+  Mat frame; //current frame
+  Mat fgMaskMOG; //fg mask generated by MOG method
+  Mat fgMaskMOG2; //fg mask fg mask generated by MOG2 method
+  Ptr<BackgroundSubtractor> pMOG; //MOG Background subtractor
+  Ptr<BackgroundSubtractor> pMOG2; //MOG2 Background subtractor
+  int keyboard;
+
+  //function declarations
+  void help();
+  void processVideo(char* videoFilename);
+  void processImages(char* firstFrameFilename);
+
+  void help()
+  {
+    cout
+    << "--------------------------------------------------------------------------"  << endl
+    << "This program shows how to use background subtraction methods provided by "   << endl
+    << " OpenCV. You can process both videos (-vid) and images (-img)."              << endl
+                                                                                     << endl
+    << "Usage:"                                                                      << endl
+    << "./bs {-vid <video filename>|-img <image filename>}"                          << endl
+    << "for example: ./bs -vid video.avi"                                            << endl
+    << "or: ./bs -img /data/images/1.png"                                            << endl
+    << "--------------------------------------------------------------------------"  << endl
+    << endl;
+  }
+
+  int main(int argc, char* argv[])
+  {
+    //print help information
+    help();
+
+    //check for the input parameter correctness
+    if(argc != 3) {
+      cerr <<"Incorret input list" << endl;
+      cerr <<"exiting..." << endl;
+      return EXIT_FAILURE;
+    }
+
+    //create GUI windows
+    namedWindow("Frame");
+    namedWindow("FG Mask MOG");
+    namedWindow("FG Mask MOG 2");
+
+    //create Background Subtractor objects
+    pMOG = createBackgroundSubtractorMOG(); //MOG approach
+    pMOG2 = createBackgroundSubtractorMOG2(); //MOG2 approach
+
+    if(strcmp(argv[1], "-vid") == 0) {
+      //input data coming from a video
+      processVideo(argv[2]);
+    }
+    else if(strcmp(argv[1], "-img") == 0) {
+      //input data coming from a sequence of images
+      processImages(argv[2]);
+    }
+    else {
+      //error in reading input parameters
+      cerr <<"Please, check the input parameters." << endl;
+      cerr <<"Exiting..." << endl;
+      return EXIT_FAILURE;
+    }
+    //destroy GUI windows
+    destroyAllWindows();
+    return EXIT_SUCCESS;
+  }
+
+  void processVideo(char* videoFilename) {
+    //create the capture object
+    VideoCapture capture(videoFilename);
+    if(!capture.isOpened()){
+      //error in opening the video input
+      cerr << "Unable to open video file: " << videoFilename << endl;
+      exit(EXIT_FAILURE);
+    }
+    //read input data. ESC or 'q' for quitting
+    while( (char)keyboard != 'q' && (char)keyboard != 27 ){
+      //read the current frame
+      if(!capture.read(frame)) {
+        cerr << "Unable to read next frame." << endl;
+        cerr << "Exiting..." << endl;
+        exit(EXIT_FAILURE);
+      }
+      //update the background model
+      pMOG->apply(frame, fgMaskMOG);
+      pMOG2->apply(frame, fgMaskMOG2);
+      //get the frame number and write it on the current frame
+      stringstream ss;
+      rectangle(frame, cv::Point(10, 2), cv::Point(100,20),
+                cv::Scalar(255,255,255), -1);
+      ss << capture.get(CAP_PROP_POS_FRAMES);
+      string frameNumberString = ss.str();
+      putText(frame, frameNumberString.c_str(), cv::Point(15, 15),
+              FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
+      //show the current frame and the fg masks
+      imshow("Frame", frame);
+      imshow("FG Mask MOG", fgMaskMOG);
+      imshow("FG Mask MOG 2", fgMaskMOG2);
+      //get the input from the keyboard
+      keyboard = waitKey( 30 );
+    }
+    //delete capture object
+    capture.release();
+  }
+
+  void processImages(char* fistFrameFilename) {
+    //read the first file of the sequence
+    frame = imread(fistFrameFilename);
+    if(!frame.data){
+      //error in opening the first image
+      cerr << "Unable to open first image frame: " << fistFrameFilename << endl;
+      exit(EXIT_FAILURE);
+    }
+    //current image filename
+    string fn(fistFrameFilename);
+    //read input data. ESC or 'q' for quitting
+    while( (char)keyboard != 'q' && (char)keyboard != 27 ){
+      //update the background model
+      pMOG->apply(frame, fgMaskMOG);
+      pMOG2->apply(frame, fgMaskMOG2);
+      //get the frame number and write it on the current frame
+      size_t index = fn.find_last_of("/");
+      if(index == string::npos) {
+        index = fn.find_last_of("\\");
+      }
+      size_t index2 = fn.find_last_of(".");
+      string prefix = fn.substr(0,index+1);
+      string suffix = fn.substr(index2);
+      string frameNumberString = fn.substr(index+1, index2-index-1);
+      istringstream iss(frameNumberString);
+      int frameNumber = 0;
+      iss >> frameNumber;
+      rectangle(frame, cv::Point(10, 2), cv::Point(100,20),
+                cv::Scalar(255,255,255), -1);
+      putText(frame, frameNumberString.c_str(), cv::Point(15, 15),
+              FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
+      //show the current frame and the fg masks
+      imshow("Frame", frame);
+      imshow("FG Mask MOG", fgMaskMOG);
+      imshow("FG Mask MOG 2", fgMaskMOG2);
+      //get the input from the keyboard
+      keyboard = waitKey( 30 );
+      //search for the next image in the sequence
+      ostringstream oss;
+      oss << (frameNumber + 1);
+      string nextFrameNumberString = oss.str();
+      string nextFrameFilename = prefix + nextFrameNumberString + suffix;
+      //read the next frame
+      frame = imread(nextFrameFilename);
+      if(!frame.data){
+        //error in opening the next image in the sequence
+        cerr << "Unable to open image frame: " << nextFrameFilename << endl;
+        exit(EXIT_FAILURE);
+      }
+      //update the path of the current frame
+      fn.assign(nextFrameFilename);
+    }
+  }
+
+* The source file can be downloaded :download:`here <../../../../samples/cpp/tutorial_code/video/bg_sub.cpp>`.
+
+
+Explanation
+============
+
+We discuss the main parts of the above code:
+
+#. First, three Mat objects are allocated to store the current frame and two foreground masks, obtained by using two different BS algorithms.
+
+   .. code-block:: cpp
+
+     Mat frame; //current frame
+     Mat fgMaskMOG; //fg mask generated by MOG method
+     Mat fgMaskMOG2; //fg mask fg mask generated by MOG2 method
+
+#. Two :background_subtractor:`BackgroundSubtractor <>` objects will be used to generate the foreground masks. In this example, default parameters are used, but it is also possible to declare specific parameters in the create function.
+
+   .. code-block:: cpp
+
+     Ptr<BackgroundSubtractor> pMOG; //MOG Background subtractor
+     Ptr<BackgroundSubtractor> pMOG2; //MOG2 Background subtractor
+     ...
+     //create Background Subtractor objects
+     pMOG = createBackgroundSubtractorMOG(); //MOG approach
+     pMOG2 = createBackgroundSubtractorMOG2(); //MOG2 approach
+
+#. The command line arguments are analysed. The user can chose between two options:
+
+   * video files (by choosing the option -vid);
+   * image sequences (by choosing the option -img).
+
+   .. code-block:: cpp
+
+      if(strcmp(argv[1], "-vid") == 0) {
+        //input data coming from a video
+        processVideo(argv[2]);
+      }
+      else if(strcmp(argv[1], "-img") == 0) {
+        //input data coming from a sequence of images
+        processImages(argv[2]);
+      }
+
+#. Suppose you want to process a video file. The video is read until the end is reached or the user presses the button 'q' or the button 'ESC'.
+
+   .. code-block:: cpp
+
+      while( (char)keyboard != 'q' && (char)keyboard != 27 ){
+        //read the current frame
+        if(!capture.read(frame)) {
+          cerr << "Unable to read next frame." << endl;
+          cerr << "Exiting..." << endl;
+          exit(EXIT_FAILURE);
+        }
+
+#. Every frame is used both for calculating the foreground mask and for updating the background. If you want to change the learning rate used for updating the background model, it is possible to set a specific learning rate by passing a third parameter to the 'apply' method.
+
+   .. code-block:: cpp
+
+      //update the background model
+      pMOG->apply(frame, fgMaskMOG);
+      pMOG2->apply(frame, fgMaskMOG2);
+
+#. The current frame number can be extracted from the :video_capture:`VideoCapture <>` object and stamped in the top left corner of the current frame. A white rectangle is used to highlight the black colored frame number.
+
+   .. code-block:: cpp
+
+      //get the frame number and write it on the current frame
+      stringstream ss;
+      rectangle(frame, cv::Point(10, 2), cv::Point(100,20),
+                cv::Scalar(255,255,255), -1);
+      ss << capture.get(CAP_PROP_POS_FRAMES);
+      string frameNumberString = ss.str();
+      putText(frame, frameNumberString.c_str(), cv::Point(15, 15),
+              FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
+
+#. We are ready to show the current input frame and the results.
+
+   .. code-block:: cpp
+
+      //show the current frame and the fg masks
+      imshow("Frame", frame);
+      imshow("FG Mask MOG", fgMaskMOG);
+      imshow("FG Mask MOG 2", fgMaskMOG2);
+
+#. The same operations listed above can be performed using a sequence of images as input. The processImage function is called and, instead of using a :video_capture:`VideoCapture <>` object, the images are read by using :imread:`imread <>`, after individuating the correct path for the next frame to read.
+
+   .. code-block:: cpp
+
+      //read the first file of the sequence
+      frame = imread(fistFrameFilename);
+      if(!frame.data){
+        //error in opening the first image
+        cerr << "Unable to open first image frame: " << fistFrameFilename << endl;
+        exit(EXIT_FAILURE);
+      }
+      ...
+      //search for the next image in the sequence
+      ostringstream oss;
+      oss << (frameNumber + 1);
+      string nextFrameNumberString = oss.str();
+      string nextFrameFilename = prefix + nextFrameNumberString + suffix;
+      //read the next frame
+      frame = imread(nextFrameFilename);
+      if(!frame.data){
+        //error in opening the next image in the sequence
+        cerr << "Unable to open image frame: " << nextFrameFilename << endl;
+        exit(EXIT_FAILURE);
+      }
+      //update the path of the current frame
+      fn.assign(nextFrameFilename);
+
+   Note that this example works only on image sequences in which the filename format is <n>.png, where n is the frame number (e.g., 7.png).
+
+Results
+=======
+
+* Given the following input parameters:
+
+  .. code-block:: cpp
+
+     -vid Video_001.avi
+
+  The output of the program will look as the following:
+
+  .. image:: images/Background_Subtraction_Tutorial_Result_1.png
+     :alt: Background Subtraction - Video File
+     :align: center
+
+* The video file Video_001.avi is part of the `Background Models Challenge (BMC) <http://bmc.univ-bpclermont.fr/>`_ data set and it can be downloaded from the following link `Video_001 <http://bmc.univ-bpclermont.fr/sites/default/files/videos/evaluation/Video_001.zip>`_ (about 32 MB).
+
+* If you want to process a sequence of images, then the '-img' option has to be chosen:
+
+  .. code-block:: cpp
+
+     -img 111_png/input/1.png
+
+  The output of the program will look as the following:
+
+  .. image:: images/Background_Subtraction_Tutorial_Result_2.png
+     :alt: Background Subtraction - Image Sequence
+     :align: center
+
+* The sequence of images used in this example is part of the `Background Models Challenge (BMC) <http://bmc.univ-bpclermont.fr/>`_ dataset and it can be downloaded from the following link `sequence 111 <http://bmc.univ-bpclermont.fr/sites/default/files/videos/learning/111_png.zip>`_ (about 708 MB). Please, note that this example works only on sequences in which the filename format is <n>.png, where n is the frame number (e.g., 7.png).
+
+Evaluation
+==========
+
+To quantitatively evaluate the results obtained, we need to:
+
+* Save the output images;
+* Have the ground truth images for the chosen sequence.
+
+In order to save the output images, we can use :imwrite:`imwrite <>`. Adding the following code allows for saving the foreground masks.
+
+  .. code-block:: cpp
+
+     string imageToSave = "output_MOG_" + frameNumberString + ".png";
+     bool saved = imwrite(imageToSave, fgMaskMOG);
+     if(!saved) {
+       cerr << "Unable to save " << imageToSave << endl;
+     }
+
+Once we have collected the result images, we can compare them with the ground truth data. There exist several publicly available sequences for background subtraction that come with ground truth data. If you decide to use the `Background Models Challenge (BMC) <http://bmc.univ-bpclermont.fr/>`_, then the result images can be used as input for the `BMC Wizard <http://bmc.univ-bpclermont.fr/?q=node/7>`_. The wizard can compute different measures about the accuracy of the results.
+
+References
+==========
+
+* Background Models Challenge (BMC) website, `<http://bmc.univ-bpclermont.fr/>`_
+
+* Antoine Vacavant, Thierry Chateau, Alexis Wilhelm and Laurent Lequievre. A Benchmark Dataset for Foreground/Background Extraction. In ACCV 2012, Workshop: Background Models Challenge, LNCS 7728, 291-300. November 2012, Daejeon, Korea.

doc/tutorials/video/table_of_content_video/table_of_content_video.rst

@@ -5,8 +5,32 @@
 
 Look here in order to find use on your video stream algoritms like: motion extraction, feature tracking and foreground extractions.
 
-.. include:: ../../definitions/noContent.rst
+.. include:: ../../definitions/tocDefinitions.rst
+
++
+  .. tabularcolumns:: m{100pt} m{300pt}
+  .. cssclass:: toctableopencv
+
+  =============== ======================================================
+   |BgSub|        **Title:** :ref:`Background_Subtraction`
+
+                  *Compatibility:* > OpenCV 2.4.6
+
+                  *Author:* |Author_DomenicoB|
+
+                  We will learn how to extract foreground masks from both videos and sequences of images and to show them.
+
+  =============== ======================================================
+
+  .. |BgSub| image:: images/Background_Subtraction_Tutorial_Cover.jpg
+                   :height: 90pt
+                   :width:  90pt
 
 .. raw:: latex
 
    \pagebreak
+
+.. toctree::
+   :hidden:
+
+   ../background_subtraction/background_subtraction

modules/highgui/src/window_gtk.cpp

@@ -47,6 +47,7 @@
 
 #include "gtk/gtk.h"
 #include "gdk/gdkkeysyms.h"
+#include <gdk-pixbuf/gdk-pixbuf.h>
 #include <stdio.h>
 
 #ifdef HAVE_OPENGL
@@ -88,14 +89,14 @@ GtkWidget*     cvImageWidgetNew      (int flags);
 void           cvImageWidgetSetImage(CvImageWidget * widget, const CvArr *arr);
 
 // standard GTK object macros
-#define CV_IMAGE_WIDGET(obj)          GTK_CHECK_CAST (obj, cvImageWidget_get_type (), CvImageWidget)
+#define CV_IMAGE_WIDGET(obj)          G_TYPE_CHECK_INSTANCE_CAST (obj, cvImageWidget_get_type (), CvImageWidget)
 #define CV_IMAGE_WIDGET_CLASS(klass)  GTK_CHECK_CLASS_CAST (klass, cvImageWidget_get_type (), CvImageWidgetClass)
-#define CV_IS_IMAGE_WIDGET(obj)       GTK_CHECK_TYPE (obj, cvImageWidget_get_type ())
+#define CV_IS_IMAGE_WIDGET(obj)       G_TYPE_CHECK_INSTANCE_TYPE (obj, cvImageWidget_get_type ())
 
 /////////////////////////////////////////////////////////////////////////////
 // Private API ////////////////////////////////////////////////////////
 /////////////////////////////////////////////////////////////////////////////
-GtkType        cvImageWidget_get_type (void);
+GType        cvImageWidget_get_type (void);
 
 static GtkWidgetClass * parent_class = NULL;
 
@@ -135,7 +136,7 @@ cvImageWidgetNew (int flags)
 {
   CvImageWidget *image_widget;
 
-  image_widget = CV_IMAGE_WIDGET( gtk_type_new (cvImageWidget_get_type ()) );
+  image_widget = CV_IMAGE_WIDGET( gtk_widget_new (cvImageWidget_get_type (), NULL) );
   image_widget->original_image = 0;
   image_widget->scaled_image = 0;
   image_widget->flags = flags | CV_WINDOW_NO_IMAGE;
@@ -153,7 +154,7 @@ cvImageWidget_realize (GtkWidget *widget)
   g_return_if_fail (widget != NULL);
   g_return_if_fail (CV_IS_IMAGE_WIDGET (widget));
 
-  GTK_WIDGET_SET_FLAGS (widget, GTK_REALIZED);
+  gtk_widget_set_realized(widget, TRUE);
 
   attributes.x = widget->allocation.x;
   attributes.y = widget->allocation.y;
@@ -270,7 +271,7 @@ cvImageWidget_size_allocate (GtkWidget     *widget,
       cvResize( image_widget->original_image, image_widget->scaled_image, CV_INTER_AREA );
   }
 
-  if (GTK_WIDGET_REALIZED (widget))
+  if (gtk_widget_get_realized (widget))
     {
       image_widget = CV_IMAGE_WIDGET (widget);
 
@@ -321,7 +322,7 @@ static void cvImageWidget_class_init (CvImageWidgetClass * klass)
   object_class = (GtkObjectClass*) klass;
   widget_class = (GtkWidgetClass*) klass;
 
-  parent_class = GTK_WIDGET_CLASS( gtk_type_class (gtk_widget_get_type ()) );
+  parent_class = GTK_WIDGET_CLASS( g_type_class_peek (gtk_widget_get_type ()) );
 
   object_class->destroy = cvImageWidget_destroy;
 
@@ -341,24 +342,18 @@ cvImageWidget_init (CvImageWidget *image_widget)
     image_widget->flags=0;
 }
 
-GtkType cvImageWidget_get_type (void){
-  static GtkType image_type = 0;
+GType cvImageWidget_get_type (void){
+  static GType image_type = 0;
 
   if (!image_type)
     {
-      static const GtkTypeInfo image_info =
-      {
+      image_type = g_type_register_static_simple( GTK_TYPE_WIDGET,
                            (gchar*) "CvImageWidget",
-        sizeof (CvImageWidget),
                            sizeof(CvImageWidgetClass),
-        (GtkClassInitFunc) cvImageWidget_class_init,
-        (GtkObjectInitFunc) cvImageWidget_init,
-        /* reserved_1 */ NULL,
-        /* reserved_1 */ NULL,
-        (GtkClassInitFunc) NULL
-      };
-
-      image_type = gtk_type_unique (GTK_TYPE_WIDGET, &image_info);
+                           (GClassInitFunc) cvImageWidget_class_init,
+                           sizeof(CvImageWidget),
+                           (GInstanceInitFunc) cvImageWidget_init,
+                           (GTypeFlags)NULL);
     }
 
   return image_type;
@@ -758,7 +753,9 @@ static gboolean cvImageWidget_expose(GtkWidget* widget, GdkEventExpose* event, g
     (void)data;
 #endif
 
-  CvImageWidget *image_widget;
+  CvImageWidget *image_widget = NULL;
+  cairo_t *cr = NULL;
+  GdkPixbuf *pixbuf = NULL;
 
   g_return_val_if_fail (widget != NULL, FALSE);
   g_return_val_if_fail (CV_IS_IMAGE_WIDGET (widget), FALSE);
@@ -767,29 +764,30 @@ static gboolean cvImageWidget_expose(GtkWidget* widget, GdkEventExpose* event, g
   if (event->count > 0)
     return FALSE;
 
+  cr = gdk_cairo_create(widget->window);
   image_widget = CV_IMAGE_WIDGET (widget);
 
-  gdk_window_clear_area (widget->window,
-                         0, 0,
-                         widget->allocation.width,
-                         widget->allocation.height);
   if( image_widget->scaled_image ){
       // center image in available region
       int x0 = (widget->allocation.width - image_widget->scaled_image->cols)/2;
       int y0 = (widget->allocation.height - image_widget->scaled_image->rows)/2;
 
-      gdk_draw_rgb_image( widget->window, widget->style->fg_gc[GTK_STATE_NORMAL],
-          x0, y0, MIN(image_widget->scaled_image->cols, widget->allocation.width),
+      pixbuf = gdk_pixbuf_new_from_data(image_widget->scaled_image->data.ptr, GDK_COLORSPACE_RGB, false,
+          8, MIN(image_widget->scaled_image->cols, widget->allocation.width),
           MIN(image_widget->scaled_image->rows, widget->allocation.height),
-          GDK_RGB_DITHER_MAX, image_widget->scaled_image->data.ptr, image_widget->scaled_image->step );
+          image_widget->scaled_image->step, NULL, NULL);
+      gdk_cairo_set_source_pixbuf(cr, pixbuf, x0, y0);
   }
   else if( image_widget->original_image ){
-      gdk_draw_rgb_image( widget->window, widget->style->fg_gc[GTK_STATE_NORMAL],
-          0, 0,
-          MIN(image_widget->original_image->cols, widget->allocation.width),
+      pixbuf = gdk_pixbuf_new_from_data(image_widget->original_image->data.ptr, GDK_COLORSPACE_RGB, false,
+          8, MIN(image_widget->original_image->cols, widget->allocation.width),
           MIN(image_widget->original_image->rows, widget->allocation.height),
-          GDK_RGB_DITHER_MAX, image_widget->original_image->data.ptr, image_widget->original_image->step );
+          image_widget->original_image->step, NULL, NULL);
+      gdk_cairo_set_source_pixbuf(cr, pixbuf, 0, 0);
   }
+
+  cairo_paint(cr);
+  cairo_destroy(cr);
   return TRUE;
 }
 
@@ -854,18 +852,18 @@ CV_IMPL int cvNamedWindow( const char* name, int flags )
     //
     // configure event handlers
     // TODO -- move this to CvImageWidget ?
-    gtk_signal_connect( GTK_OBJECT(window->frame), "key-press-event",
-                        GTK_SIGNAL_FUNC(icvOnKeyPress), window );
-    gtk_signal_connect( GTK_OBJECT(window->widget), "button-press-event",
-                        GTK_SIGNAL_FUNC(icvOnMouse), window );
-    gtk_signal_connect( GTK_OBJECT(window->widget), "button-release-event",
-                        GTK_SIGNAL_FUNC(icvOnMouse), window );
-    gtk_signal_connect( GTK_OBJECT(window->widget), "motion-notify-event",
-                        GTK_SIGNAL_FUNC(icvOnMouse), window );
-    gtk_signal_connect( GTK_OBJECT(window->frame), "delete-event",
-                        GTK_SIGNAL_FUNC(icvOnClose), window );
-    gtk_signal_connect( GTK_OBJECT(window->widget), "expose-event",
-                        GTK_SIGNAL_FUNC(cvImageWidget_expose), window );
+    g_signal_connect( window->frame, "key-press-event",
+                        G_CALLBACK(icvOnKeyPress), window );
+    g_signal_connect( window->widget, "button-press-event",
+                        G_CALLBACK(icvOnMouse), window );
+    g_signal_connect( window->widget, "button-release-event",
+                        G_CALLBACK(icvOnMouse), window );
+    g_signal_connect( window->widget, "motion-notify-event",
+                        G_CALLBACK(icvOnMouse), window );
+    g_signal_connect( window->frame, "delete-event",
+                        G_CALLBACK(icvOnClose), window );
+    g_signal_connect( window->widget, "expose-event",
+                        G_CALLBACK(cvImageWidget_expose), window );
 
     gtk_widget_add_events (window->widget, GDK_BUTTON_RELEASE_MASK | GDK_BUTTON_PRESS_MASK | GDK_POINTER_MOTION_MASK) ;
 
@@ -1225,7 +1223,6 @@ icvCreateTrackbar( const char* trackbar_name, const char* window_name,
         GtkWidget* hscale_box = gtk_hbox_new( FALSE, 10 );
         GtkWidget* hscale_label = gtk_label_new( trackbar_name );
         GtkWidget* hscale = gtk_hscale_new_with_range( 0, count, 1 );
-        gtk_range_set_update_policy( GTK_RANGE(hscale), GTK_UPDATE_CONTINUOUS );
         gtk_scale_set_digits( GTK_SCALE(hscale), 0 );
         //gtk_scale_set_value_pos( hscale, GTK_POS_TOP );
         gtk_scale_set_draw_value( GTK_SCALE(hscale), TRUE );
@@ -1256,8 +1253,8 @@ icvCreateTrackbar( const char* trackbar_name, const char* window_name,
     trackbar->notify = on_notify;
     trackbar->notify2 = on_notify2;
     trackbar->userdata = userdata;
-    gtk_signal_connect( GTK_OBJECT(trackbar->widget), "value-changed",
-                        GTK_SIGNAL_FUNC(icvOnTrackbar), trackbar );
+    g_signal_connect( trackbar->widget, "value-changed",
+                        G_CALLBACK(icvOnTrackbar), trackbar );
 
     // queue a widget resize to trigger a window resize to
     // compensate for the addition of trackbars

modules/imgproc/doc/structural_analysis_and_shape_descriptors.rst

@@ -716,3 +716,32 @@ See below a sample output of the function where each image pixel is tested again
 .. [Suzuki85] Suzuki, S. and Abe, K., *Topological Structural Analysis of Digitized Binary Images by Border Following*. CVGIP 30 1, pp 32-46 (1985)
 
 .. [TehChin89] Teh, C.H. and Chin, R.T., *On the Detection of Dominant Points on Digital Curve*. PAMI 11 8, pp 859-872 (1989)
+
+
+
+rotatedRectangleIntersection
+-------------------------------
+Finds out if there is any intersection between two rotated rectangles. If there is then the vertices of the interesecting region are returned as well.
+
+.. ocv:function:: int rotatedRectangleIntersection( const RotatedRect& rect1, const RotatedRect& rect2, OutputArray intersectingRegion  )
+.. ocv:pyfunction:: cv2.rotatedRectangleIntersection( rect1, rect2 ) -> retval, intersectingRegion
+
+    :param rect1: First rectangle
+
+    :param rect2: Second rectangle
+
+    :param intersectingRegion: The output array of the verticies of the intersecting region. It returns at most 8 vertices. Stored as ``std::vector<cv::Point2f>`` or ``cv::Mat`` as Mx1 of type CV_32FC2.
+
+    :param pointCount: The number of vertices.
+
+The following values are returned by the function:
+
+    * INTERSECT_NONE=0 - No intersection
+
+    * INTERSECT_PARTIAL=1 - There is a partial intersection
+
+    * INTERSECT_FULL=2 - One of the rectangle is fully enclosed in the other
+
+Below are some examples of intersection configurations. The hatched pattern indicates the intersecting region and the red vertices are returned by the function.
+
+.. image:: pics/intersection.png

modules/imgproc/include/opencv2/imgproc.hpp

@@ -462,7 +462,11 @@ enum { COLOR_BGR2BGRA     = 0,
        COLOR_COLORCVT_MAX  = 139
 };
 
-
+//! types of intersection between rectangles
+enum { INTERSECT_NONE = 0,
+       INTERSECT_PARTIAL  = 1,
+       INTERSECT_FULL  = 2
+     };
 
 /*!
  The Base Class for 1D or Row-wise Filters
@@ -1486,6 +1490,9 @@ CV_EXPORTS_W void fitLine( InputArray points, OutputArray line, int distType,
 //! checks if the point is inside the contour. Optionally computes the signed distance from the point to the contour boundary
 CV_EXPORTS_W double pointPolygonTest( InputArray contour, Point2f pt, bool measureDist );
 
+//! computes whether two rotated rectangles intersect and returns the vertices of the intersecting region
+CV_EXPORTS_W int rotatedRectangleIntersection( const RotatedRect& rect1, const RotatedRect& rect2, OutputArray intersectingRegion  );
+
 CV_EXPORTS_W Ptr<CLAHE> createCLAHE(double clipLimit = 40.0, Size tileGridSize = Size(8, 8));
 
 //! Ballard, D.H. (1981). Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition 13 (2): 111-122.

modules/imgproc/src/intersection.cpp

@@ -0,0 +1,252 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2008-2011, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+//      Nghia Ho, nghiaho12@yahoo.com
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of OpenCV Foundation may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the OpenCV Foundation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+#include "precomp.hpp"
+
+namespace cv
+{
+
+int rotatedRectangleIntersection( const RotatedRect& rect1, const RotatedRect& rect2, OutputArray intersectingRegion )
+{
+    const float samePointEps = 0.00001; // used to test if two points are the same
+
+    Point2f vec1[4], vec2[4];
+    Point2f pts1[4], pts2[4];
+
+    std::vector <Point2f> intersection;
+
+    rect1.points(pts1);
+    rect2.points(pts2);
+
+    int ret = INTERSECT_FULL;
+
+    // Specical case of rect1 == rect2
+    {
+        bool same = true;
+
+        for( int i = 0; i < 4; i++ )
+        {
+            if( fabs(pts1[i].x - pts2[i].x) > samePointEps || (fabs(pts1[i].y - pts2[i].y) > samePointEps) )
+            {
+                same = false;
+                break;
+            }
+        }
+
+        if(same)
+        {
+            intersection.resize(4);
+
+            for( int i = 0; i < 4; i++ )
+            {
+                intersection[i] = pts1[i];
+            }
+
+            Mat(intersection).copyTo(intersectingRegion);
+
+            return INTERSECT_FULL;
+        }
+    }
+
+    // Line vector
+    // A line from p1 to p2 is: p1 + (p2-p1)*t, t=[0,1]
+    for( int i = 0; i < 4; i++ )
+    {
+        vec1[i].x = pts1[(i+1)%4].x - pts1[i].x;
+        vec1[i].y = pts1[(i+1)%4].y - pts1[i].y;
+
+        vec2[i].x = pts2[(i+1)%4].x - pts2[i].x;
+        vec2[i].y = pts2[(i+1)%4].y - pts2[i].y;
+    }
+
+    // Line test - test all line combos for intersection
+    for( int i = 0; i < 4; i++ )
+    {
+        for( int j = 0; j < 4; j++ )
+        {
+            // Solve for 2x2 Ax=b
+            float x21 = pts2[j].x - pts1[i].x;
+            float y21 = pts2[j].y - pts1[i].y;
+
+            float vx1 = vec1[i].x;
+            float vy1 = vec1[i].y;
+
+            float vx2 = vec2[j].x;
+            float vy2 = vec2[j].y;
+
+            float det = vx2*vy1 - vx1*vy2;
+
+            float t1 = (vx2*y21 - vy2*x21) / det;
+            float t2 = (vx1*y21 - vy1*x21) / det;
+
+            // This takes care of parallel lines
+            if( cvIsInf(t1) || cvIsInf(t2) || cvIsNaN(t1) || cvIsNaN(t2) )
+            {
+                continue;
+            }
+
+            if( t1 >= 0.0f && t1 <= 1.0f && t2 >= 0.0f && t2 <= 1.0f )
+            {
+                float xi = pts1[i].x + vec1[i].x*t1;
+                float yi = pts1[i].y + vec1[i].y*t1;
+
+                intersection.push_back(Point2f(xi,yi));
+            }
+        }
+    }
+
+    if( !intersection.empty() )
+    {
+        ret = INTERSECT_PARTIAL;
+    }
+
+    // Check for vertices from rect1 inside recct2
+    for( int i = 0; i < 4; i++ )
+    {
+        // We do a sign test to see which side the point lies.
+        // If the point all lie on the same sign for all 4 sides of the rect,
+        // then there's an intersection
+        int posSign = 0;
+        int negSign = 0;
+
+        float x = pts1[i].x;
+        float y = pts1[i].y;
+
+        for( int j = 0; j < 4; j++ )
+        {
+            // line equation: Ax + By + C = 0
+            // see which side of the line this point is at
+            float A = -vec2[j].y;
+            float B = vec2[j].x;
+            float C = -(A*pts2[j].x + B*pts2[j].y);
+
+            float s = A*x+ B*y+ C;
+
+            if( s >= 0 )
+            {
+                posSign++;
+            }
+            else
+            {
+                negSign++;
+            }
+        }
+
+        if( posSign == 4 || negSign == 4 )
+        {
+            intersection.push_back(pts1[i]);
+        }
+    }
+
+    // Reverse the check - check for vertices from rect2 inside recct1
+    for( int i = 0; i < 4; i++ )
+    {
+        // We do a sign test to see which side the point lies.
+        // If the point all lie on the same sign for all 4 sides of the rect,
+        // then there's an intersection
+        int posSign = 0;
+        int negSign = 0;
+
+        float x = pts2[i].x;
+        float y = pts2[i].y;
+
+        for( int j = 0; j < 4; j++ )
+        {
+            // line equation: Ax + By + C = 0
+            // see which side of the line this point is at
+            float A = -vec1[j].y;
+            float B = vec1[j].x;
+            float C = -(A*pts1[j].x + B*pts1[j].y);
+
+            float s = A*x + B*y + C;
+
+            if( s >= 0 )
+            {
+                posSign++;
+            }
+            else
+            {
+                negSign++;
+            }
+        }
+
+        if( posSign == 4 || negSign == 4 )
+        {
+            intersection.push_back(pts2[i]);
+        }
+    }
+
+    // Get rid of dupes
+    for( int i = 0; i < (int)intersection.size()-1; i++ )
+    {
+        for( size_t j = i+1; j < intersection.size(); j++ )
+        {
+            float dx = intersection[i].x - intersection[j].x;
+            float dy = intersection[i].y - intersection[j].y;
+            double d2 = dx*dx + dy*dy; // can be a really small number, need double here
+
+            if( d2 < samePointEps*samePointEps )
+            {
+                // Found a dupe, remove it
+                std::swap(intersection[j], intersection.back());
+                intersection.pop_back();
+                i--; // restart check
+            }
+        }
+    }
+
+    if( intersection.empty() )
+    {
+        return INTERSECT_NONE ;
+    }
+
+    // If this check fails then it means we're getting dupes, increase samePointEps
+    CV_Assert( intersection.size() <= 8 );
+
+    Mat(intersection).copyTo(intersectingRegion);
+
+    return ret;
+}
+
+} // end namespace

modules/imgproc/test/test_intersection.cpp

@@ -0,0 +1,499 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2008-2011, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+//      Nghia Ho, nghiaho12@yahoo.com
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of OpenCV Foundation may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the OpenCV Foundation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "test_precomp.hpp"
+
+using namespace cv;
+using namespace std;
+
+#define ACCURACY 0.00001
+
+class CV_RotatedRectangleIntersectionTest: public cvtest::ArrayTest
+{
+public:
+
+protected:
+    void run (int);
+
+private:
+    void test1();
+    void test2();
+    void test3();
+    void test4();
+    void test5();
+    void test6();
+    void test7();
+    void test8();
+    void test9();
+};
+
+void CV_RotatedRectangleIntersectionTest::run(int)
+{
+    // See pics/intersection.png for the scenarios we are testing
+
+    // Test the following scenarios:
+    // 1 - no intersection
+    // 2 - partial intersection, rectangle translated
+    // 3 - partial intersection, rectangle rotated 45 degree on the corner, forms a triangle intersection
+    // 4 - full intersection, rectangles of same size directly on top of each other
+    // 5 - partial intersection, rectangle on top rotated 45 degrees
+    // 6 - partial intersection, rectangle on top of different size
+    // 7 - full intersection, rectangle fully enclosed in the other
+    // 8 - partial intersection, rectangle corner just touching. point contact
+    // 9 - partial intersetion. rectangle side by side, line contact
+
+    test1();
+    test2();
+    test3();
+    test4();
+    test5();
+    test6();
+    test7();
+    test8();
+    test9();
+}
+
+void CV_RotatedRectangleIntersectionTest::test1()
+{
+    // no intersection
+
+    RotatedRect rect1, rect2;
+
+    rect1.center.x = 0;
+    rect1.center.y = 0;
+    rect1.size.width = 2;
+    rect1.size.height = 2;
+    rect1.angle = 12.0f;
+
+    rect2.center.x = 10;
+    rect2.center.y = 10;
+    rect2.size.width = 2;
+    rect2.size.height = 2;
+    rect2.angle = 34.0f;
+
+    vector<Point2f> vertices;
+
+    int ret = rotatedRectangleIntersection(rect1, rect2, vertices);
+
+    CV_Assert(ret == INTERSECT_NONE);
+    CV_Assert(vertices.empty());
+}
+
+void CV_RotatedRectangleIntersectionTest::test2()
+{
+    // partial intersection, rectangles translated
+
+    RotatedRect rect1, rect2;
+
+    rect1.center.x = 0;
+    rect1.center.y = 0;
+    rect1.size.width = 2;
+    rect1.size.height = 2;
+    rect1.angle = 0;
+
+    rect2.center.x = 1;
+    rect2.center.y = 1;
+    rect2.size.width = 2;
+    rect2.size.height = 2;
+    rect2.angle = 0;
+
+    vector<Point2f> vertices;
+
+    int ret = rotatedRectangleIntersection(rect1, rect2, vertices);
+
+    CV_Assert(ret == INTERSECT_PARTIAL);
+    CV_Assert(vertices.size() == 4);
+
+    vector<Point2f> possibleVertices(4);
+
+    possibleVertices[0] = Point2f(0.0f, 0.0f);
+    possibleVertices[1] = Point2f(1.0f, 1.0f);
+    possibleVertices[2] = Point2f(0.0f, 1.0f);
+    possibleVertices[3] = Point2f(1.0f, 0.0f);
+
+    for( size_t i = 0; i < vertices.size(); i++ )
+    {
+        double bestR = DBL_MAX;
+
+        for( size_t j = 0; j < possibleVertices.size(); j++ )
+        {
+            double dx = vertices[i].x - possibleVertices[j].x;
+            double dy = vertices[i].y - possibleVertices[j].y;
+            double r = sqrt(dx*dx + dy*dy);
+
+            bestR = std::min(bestR, r);
+        }
+
+        CV_Assert(bestR < ACCURACY);
+    }
+}
+
+void CV_RotatedRectangleIntersectionTest::test3()
+{
+    // partial intersection, rectangles rotated 45 degree on the corner, forms a triangle intersection
+    RotatedRect rect1, rect2;
+
+    rect1.center.x = 0;
+    rect1.center.y = 0;
+    rect1.size.width = 2;
+    rect1.size.height = 2;
+    rect1.angle = 0;
+
+    rect2.center.x = 1;
+    rect2.center.y = 1;
+    rect2.size.width = sqrt(2.0f);
+    rect2.size.height = 20;
+    rect2.angle = 45.0f;
+
+    vector<Point2f> vertices;
+
+    int ret = rotatedRectangleIntersection(rect1, rect2, vertices);
+
+    CV_Assert(ret == INTERSECT_PARTIAL);
+    CV_Assert(vertices.size() == 3);
+
+    vector<Point2f> possibleVertices(3);
+
+    possibleVertices[0] = Point2f(1.0f, 1.0f);
+    possibleVertices[1] = Point2f(0.0f, 1.0f);
+    possibleVertices[2] = Point2f(1.0f, 0.0f);
+
+    for( size_t i = 0; i < vertices.size(); i++ )
+    {
+        double bestR = DBL_MAX;
+
+        for( size_t j = 0; j < possibleVertices.size(); j++ )
+        {
+            double dx = vertices[i].x - possibleVertices[j].x;
+            double dy = vertices[i].y - possibleVertices[j].y;
+            double r = sqrt(dx*dx + dy*dy);
+
+            bestR = std::min(bestR, r);
+        }
+
+        CV_Assert(bestR < ACCURACY);
+    }
+}
+
+void CV_RotatedRectangleIntersectionTest::test4()
+{
+    // full intersection, rectangles of same size directly on top of each other
+
+    RotatedRect rect1, rect2;
+
+    rect1.center.x = 0;
+    rect1.center.y = 0;
+    rect1.size.width = 2;
+    rect1.size.height = 2;
+    rect1.angle = 0;
+
+    rect2.center.x = 0;
+    rect2.center.y = 0;
+    rect2.size.width = 2;
+    rect2.size.height = 2;
+    rect2.angle = 0;
+
+    vector<Point2f> vertices;
+
+    int ret = rotatedRectangleIntersection(rect1, rect2, vertices);
+
+    CV_Assert(ret == INTERSECT_FULL);
+    CV_Assert(vertices.size() == 4);
+
+    vector<Point2f> possibleVertices(4);
+
+    possibleVertices[0] = Point2f(-1.0f, 1.0f);
+    possibleVertices[1] = Point2f(1.0f, -1.0f);
+    possibleVertices[2] = Point2f(-1.0f, -1.0f);
+    possibleVertices[3] = Point2f(1.0f, 1.0f);
+
+    for( size_t i = 0; i < vertices.size(); i++ )
+    {
+        double bestR = DBL_MAX;
+
+        for( size_t j = 0; j < possibleVertices.size(); j++ )
+        {
+            double dx = vertices[i].x - possibleVertices[j].x;
+            double dy = vertices[i].y - possibleVertices[j].y;
+            double r = sqrt(dx*dx + dy*dy);
+
+            bestR = std::min(bestR, r);
+        }
+
+        CV_Assert(bestR < ACCURACY);
+    }
+}
+
+void CV_RotatedRectangleIntersectionTest::test5()
+{
+    // partial intersection, rectangle on top rotated 45 degrees
+
+    RotatedRect rect1, rect2;
+
+    rect1.center.x = 0;
+    rect1.center.y = 0;
+    rect1.size.width = 2;
+    rect1.size.height = 2;
+    rect1.angle = 0;
+
+    rect2.center.x = 0;
+    rect2.center.y = 0;
+    rect2.size.width = 2;
+    rect2.size.height = 2;
+    rect2.angle = 45.0f;
+
+    vector<Point2f> vertices;
+
+    int ret = rotatedRectangleIntersection(rect1, rect2, vertices);
+
+    CV_Assert(ret == INTERSECT_PARTIAL);
+    CV_Assert(vertices.size() == 8);
+
+    vector<Point2f> possibleVertices(8);
+
+    possibleVertices[0] = Point2f(-1.0f, -0.414214f);
+    possibleVertices[1] = Point2f(-1.0f, 0.414214f);
+    possibleVertices[2] = Point2f(-0.414214f, -1.0f);
+    possibleVertices[3] = Point2f(0.414214f, -1.0f);
+    possibleVertices[4] = Point2f(1.0f, -0.414214f);
+    possibleVertices[5] = Point2f(1.0f, 0.414214f);
+    possibleVertices[6] = Point2f(0.414214f, 1.0f);
+    possibleVertices[7] = Point2f(-0.414214f, 1.0f);
+
+    for( size_t i = 0; i < vertices.size(); i++ )
+    {
+        double bestR = DBL_MAX;
+
+        for( size_t j = 0; j < possibleVertices.size(); j++ )
+        {
+            double dx = vertices[i].x - possibleVertices[j].x;
+            double dy = vertices[i].y - possibleVertices[j].y;
+            double r = sqrt(dx*dx + dy*dy);
+
+            bestR = std::min(bestR, r);
+        }
+
+        CV_Assert(bestR < ACCURACY);
+    }
+}
+
+void CV_RotatedRectangleIntersectionTest::test6()
+{
+    // 6 - partial intersection, rectangle on top of different size
+
+    RotatedRect rect1, rect2;
+
+    rect1.center.x = 0;
+    rect1.center.y = 0;
+    rect1.size.width = 2;
+    rect1.size.height = 2;
+    rect1.angle = 0;
+
+    rect2.center.x = 0;
+    rect2.center.y = 0;
+    rect2.size.width = 2;
+    rect2.size.height = 10;
+    rect2.angle = 0;
+
+    vector<Point2f> vertices;
+
+    int ret = rotatedRectangleIntersection(rect1, rect2, vertices);
+
+    CV_Assert(ret == INTERSECT_PARTIAL);
+    CV_Assert(vertices.size() == 4);
+
+    vector<Point2f> possibleVertices(4);
+
+    possibleVertices[0] = Point2f(1.0f, 1.0f);
+    possibleVertices[1] = Point2f(1.0f, -1.0f);
+    possibleVertices[2] = Point2f(-1.0f, -1.0f);
+    possibleVertices[3] = Point2f(-1.0f, 1.0f);
+
+    for( size_t i = 0; i < vertices.size(); i++ )
+    {
+        double bestR = DBL_MAX;
+
+        for( size_t j = 0; j < possibleVertices.size(); j++ )
+        {
+            double dx = vertices[i].x - possibleVertices[j].x;
+            double dy = vertices[i].y - possibleVertices[j].y;
+            double r = sqrt(dx*dx + dy*dy);
+
+            bestR = std::min(bestR, r);
+        }
+
+        CV_Assert(bestR < ACCURACY);
+    }
+}
+
+void CV_RotatedRectangleIntersectionTest::test7()
+{
+    // full intersection, rectangle fully enclosed in the other
+
+    RotatedRect rect1, rect2;
+
+    rect1.center.x = 0;
+    rect1.center.y = 0;
+    rect1.size.width = 12.34;
+    rect1.size.height = 56.78;
+    rect1.angle = 0;
+
+    rect2.center.x = 0;
+    rect2.center.y = 0;
+    rect2.size.width = 2;
+    rect2.size.height = 2;
+    rect2.angle = 0;
+
+    vector<Point2f> vertices;
+
+    int ret = rotatedRectangleIntersection(rect1, rect2, vertices);
+
+    CV_Assert(ret == INTERSECT_FULL);
+    CV_Assert(vertices.size() == 4);
+
+    vector<Point2f> possibleVertices(4);
+
+    possibleVertices[0] = Point2f(1.0f, 1.0f);
+    possibleVertices[1] = Point2f(1.0f, -1.0f);
+    possibleVertices[2] = Point2f(-1.0f, -1.0f);
+    possibleVertices[3] = Point2f(-1.0f, 1.0f);
+
+    for( size_t i = 0; i < vertices.size(); i++ )
+    {
+        double bestR = DBL_MAX;
+
+        for( size_t j = 0; j < possibleVertices.size(); j++ )
+        {
+            double dx = vertices[i].x - possibleVertices[j].x;
+            double dy = vertices[i].y - possibleVertices[j].y;
+            double r = sqrt(dx*dx + dy*dy);
+
+            bestR = std::min(bestR, r);
+        }
+
+        CV_Assert(bestR < ACCURACY);
+    }
+}
+
+void CV_RotatedRectangleIntersectionTest::test8()
+{
+    // full intersection, rectangle fully enclosed in the other
+
+    RotatedRect rect1, rect2;
+
+    rect1.center.x = 0;
+    rect1.center.y = 0;
+    rect1.size.width = 2;
+    rect1.size.height = 2;
+    rect1.angle = 0;
+
+    rect2.center.x = 2;
+    rect2.center.y = 2;
+    rect2.size.width = 2;
+    rect2.size.height = 2;
+    rect2.angle = 0;
+
+    vector<Point2f> vertices;
+
+    int ret = rotatedRectangleIntersection(rect1, rect2, vertices);
+
+    CV_Assert(ret == INTERSECT_PARTIAL);
+    CV_Assert(vertices.size() == 1);
+
+    double dx = vertices[0].x - 1;
+    double dy = vertices[0].y - 1;
+    double r = sqrt(dx*dx + dy*dy);
+
+    CV_Assert(r < ACCURACY);
+}
+
+void CV_RotatedRectangleIntersectionTest::test9()
+{
+    // full intersection, rectangle fully enclosed in the other
+
+    RotatedRect rect1, rect2;
+
+    rect1.center.x = 0;
+    rect1.center.y = 0;
+    rect1.size.width = 2;
+    rect1.size.height = 2;
+    rect1.angle = 0;
+
+    rect2.center.x = 2;
+    rect2.center.y = 0;
+    rect2.size.width = 2;
+    rect2.size.height = 123.45;
+    rect2.angle = 0;
+
+    vector<Point2f> vertices;
+
+    int ret = rotatedRectangleIntersection(rect1, rect2, vertices);
+
+    CV_Assert(ret == INTERSECT_PARTIAL);
+    CV_Assert(vertices.size() == 2);
+
+    vector<Point2f> possibleVertices(2);
+
+    possibleVertices[0] = Point2f(1.0f, 1.0f);
+    possibleVertices[1] = Point2f(1.0f, -1.0f);
+
+    for( size_t i = 0; i < vertices.size(); i++ )
+    {
+        double bestR = DBL_MAX;
+
+        for( size_t j = 0; j < possibleVertices.size(); j++ )
+        {
+            double dx = vertices[i].x - possibleVertices[j].x;
+            double dy = vertices[i].y - possibleVertices[j].y;
+            double r = sqrt(dx*dx + dy*dy);
+
+            bestR = std::min(bestR, r);
+        }
+
+        CV_Assert(bestR < ACCURACY);
+    }
+}
+
+TEST (Imgproc_RotatedRectangleIntersection, accuracy) { CV_RotatedRectangleIntersectionTest test; test.safe_run(); }

samples/cpp/tutorial_code/video/bg_sub.cpp

@@ -0,0 +1,186 @@
+/**
+ * @file bg_sub.cpp
+ * @brief Background subtraction tutorial sample code
+ * @author Domenico D. Bloisi
+ */
+
+//opencv
+#include <opencv2/highgui/highgui.hpp>
+#include <opencv2/video/background_segm.hpp>
+//C
+#include <stdio.h>
+//C++
+#include <iostream>
+#include <sstream>
+
+using namespace cv;
+using namespace std;
+
+// Global variables
+Mat frame; //current frame
+Mat fgMaskMOG; //fg mask generated by MOG method
+Mat fgMaskMOG2; //fg mask fg mask generated by MOG2 method
+Ptr<BackgroundSubtractor> pMOG; //MOG Background subtractor
+Ptr<BackgroundSubtractor> pMOG2; //MOG2 Background subtractor
+int keyboard; //input from keyboard
+
+/** Function Headers */
+void help();
+void processVideo(char* videoFilename);
+void processImages(char* firstFrameFilename);
+
+void help()
+{
+    cout
+    << "--------------------------------------------------------------------------" << endl
+    << "This program shows how to use background subtraction methods provided by "  << endl
+    << " OpenCV. You can process both videos (-vid) and images (-img)."             << endl
+                                                                                    << endl
+    << "Usage:"                                                                     << endl
+    << "./bs {-vid <video filename>|-img <image filename>}"                         << endl
+    << "for example: ./bs -vid video.avi"                                           << endl
+    << "or: ./bs -img /data/images/1.png"                                           << endl
+    << "--------------------------------------------------------------------------" << endl
+    << endl;
+}
+
+/**
+ * @function main
+ */
+int main(int argc, char* argv[])
+{
+    //print help information
+    help();
+
+    //check for the input parameter correctness
+    if(argc != 3) {
+        cerr <<"Incorret input list" << endl;
+        cerr <<"exiting..." << endl;
+        return EXIT_FAILURE;
+    }
+
+    //create GUI windows
+    namedWindow("Frame");
+    namedWindow("FG Mask MOG");
+    namedWindow("FG Mask MOG 2");
+
+    //create Background Subtractor objects
+    pMOG = createBackgroundSubtractorMOG(); //MOG approach
+    pMOG2 = createBackgroundSubtractorMOG2(); //MOG2 approach
+
+    if(strcmp(argv[1], "-vid") == 0) {
+        //input data coming from a video
+        processVideo(argv[2]);
+    }
+    else if(strcmp(argv[1], "-img") == 0) {
+        //input data coming from a sequence of images
+        processImages(argv[2]);
+    }
+    else {
+        //error in reading input parameters
+        cerr <<"Please, check the input parameters." << endl;
+        cerr <<"Exiting..." << endl;
+        return EXIT_FAILURE;
+    }
+    //destroy GUI windows
+    destroyAllWindows();
+    return EXIT_SUCCESS;
+}
+
+/**
+ * @function processVideo
+ */
+void processVideo(char* videoFilename) {
+    //create the capture object
+    VideoCapture capture(videoFilename);
+    if(!capture.isOpened()){
+        //error in opening the video input
+        cerr << "Unable to open video file: " << videoFilename << endl;
+        exit(EXIT_FAILURE);
+    }
+    //read input data. ESC or 'q' for quitting
+    while( (char)keyboard != 'q' && (char)keyboard != 27 ){
+        //read the current frame
+        if(!capture.read(frame)) {
+            cerr << "Unable to read next frame." << endl;
+            cerr << "Exiting..." << endl;
+            exit(EXIT_FAILURE);
+        }
+        //update the background model
+        pMOG->apply(frame, fgMaskMOG);
+        pMOG2->apply(frame, fgMaskMOG2);
+        //get the frame number and write it on the current frame
+        stringstream ss;
+        rectangle(frame, cv::Point(10, 2), cv::Point(100,20),
+                  cv::Scalar(255,255,255), -1);
+        ss << capture.get(CAP_PROP_POS_FRAMES);
+        string frameNumberString = ss.str();
+        putText(frame, frameNumberString.c_str(), cv::Point(15, 15),
+                FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
+        //show the current frame and the fg masks
+        imshow("Frame", frame);
+        imshow("FG Mask MOG", fgMaskMOG);
+        imshow("FG Mask MOG 2", fgMaskMOG2);
+        //get the input from the keyboard
+        keyboard = waitKey( 30 );
+    }
+    //delete capture object
+    capture.release();
+}
+
+/**
+ * @function processImages
+ */
+void processImages(char* fistFrameFilename) {
+    //read the first file of the sequence
+    frame = imread(fistFrameFilename);
+    if(!frame.data){
+        //error in opening the first image
+        cerr << "Unable to open first image frame: " << fistFrameFilename << endl;
+        exit(EXIT_FAILURE);
+    }
+    //current image filename
+    string fn(fistFrameFilename);
+    //read input data. ESC or 'q' for quitting
+    while( (char)keyboard != 'q' && (char)keyboard != 27 ){
+        //update the background model
+        pMOG->apply(frame, fgMaskMOG);
+        pMOG2->apply(frame, fgMaskMOG2);
+        //get the frame number and write it on the current frame
+        size_t index = fn.find_last_of("/");
+        if(index == string::npos) {
+            index = fn.find_last_of("\\");
+        }
+        size_t index2 = fn.find_last_of(".");
+        string prefix = fn.substr(0,index+1);
+        string suffix = fn.substr(index2);
+        string frameNumberString = fn.substr(index+1, index2-index-1);
+        istringstream iss(frameNumberString);
+        int frameNumber = 0;
+        iss >> frameNumber;
+        rectangle(frame, cv::Point(10, 2), cv::Point(100,20),
+                  cv::Scalar(255,255,255), -1);
+        putText(frame, frameNumberString.c_str(), cv::Point(15, 15),
+                FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
+        //show the current frame and the fg masks
+        imshow("Frame", frame);
+        imshow("FG Mask MOG", fgMaskMOG);
+        imshow("FG Mask MOG 2", fgMaskMOG2);
+        //get the input from the keyboard
+        keyboard = waitKey( 30 );
+        //search for the next image in the sequence
+        ostringstream oss;
+        oss << (frameNumber + 1);
+        string nextFrameNumberString = oss.str();
+        string nextFrameFilename = prefix + nextFrameNumberString + suffix;
+        //read the next frame
+        frame = imread(nextFrameFilename);
+        if(!frame.data){
+            //error in opening the next image in the sequence
+            cerr << "Unable to open image frame: " << nextFrameFilename << endl;
+            exit(EXIT_FAILURE);
+        }
+        //update the path of the current frame
+        fn.assign(nextFrameFilename);
+    }
+}