X-Git-Url: https://vcs.maemo.org/git/?a=blobdiff_plain;f=cvaux%2Fsrc%2Fcvbgfg_gaussmix.cpp;fp=cvaux%2Fsrc%2Fcvbgfg_gaussmix.cpp;h=f4655cdeb49de62be7ef9c7799b380446b5928b7;hb=80cd7b93506cc1926882d5fd08a2c74ee9359e29;hp=46998dbd9834579802d422722974cf526a0261dc;hpb=467a270adf12425827305759c0c4ea8f5b2b3854;p=opencv

diff --git a/cvaux/src/cvbgfg_gaussmix.cpp b/cvaux/src/cvbgfg_gaussmix.cpp
index 46998db..f4655cd 100644
--- a/cvaux/src/cvbgfg_gaussmix.cpp
+++ b/cvaux/src/cvbgfg_gaussmix.cpp
@@ -39,11 +39,14 @@
 //M*/
 
 
-//This is based on the "An Improved Adaptive Background Mixture Model for
-//Real-time Tracking and Shadow Detection" by P. KaewTraKulPong and R. Bowden
-//The windowing method is used, but not the shadow detection. I make some of my
-//own modifications which make more sense. There are some errors in some of their
-//equations.
+// This is based on the "An Improved Adaptive Background Mixture Model for
+// Real-time Tracking with Shadow Detection" by P. KaewTraKulPong and R. Bowden
+// http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/avbs01/avbs01.pdf
+//
+// The windowing method is used, but not the shadow detection. I make some of my
+// own modifications which make more sense. There are some errors in some of their
+// equations.
+//
 //IplImage values of image that are useful
 //int  nSize;         /* sizeof(IplImage) */
 //int  depth;         /* pixel depth in bits: IPL_DEPTH_8U ...*/
@@ -106,7 +109,7 @@ static void icvUpdatePartialNoMatch( double* src_pixel, int nChannels,
 
 static void icvGetSortKey( const int nChannels, double* sort_key, const CvGaussBGPoint* g_point, 
                     const CvGaussBGStatModelParams *bg_model_params );
-static void icvBackgroundTest( const int nChannels, int n, int p, int *match, CvGaussBGModel* bg_model );
+static void icvBackgroundTest( const int nChannels, int n, int i, int j, int *match, CvGaussBGModel* bg_model );
 
 static void CV_CDECL icvReleaseGaussianBGModel( CvGaussBGModel** bg_model );
 static int CV_CDECL icvUpdateGaussianBGModel( IplImage* curr_frame, CvGaussBGModel*  bg_model );
@@ -144,14 +147,16 @@ cvCreateGaussianBGModel( IplImage* first_frame, CvGaussBGStatModelParams* parame
     
     //init parameters
     if( parameters == NULL )
-    {
-        params.win_size = CV_BGFG_MOG_WINDOW_SIZE;
-        params.bg_threshold = CV_BGFG_MOG_BACKGROUND_THRESHOLD;
+      {                        /* These constants are defined in cvaux/include/cvaux.h: */
+        params.win_size      = CV_BGFG_MOG_WINDOW_SIZE;
+        params.bg_threshold  = CV_BGFG_MOG_BACKGROUND_THRESHOLD;
+
         params.std_threshold = CV_BGFG_MOG_STD_THRESHOLD;
-        params.weight_init = CV_BGFG_MOG_WEIGHT_INIT;
+        params.weight_init   = CV_BGFG_MOG_WEIGHT_INIT;
+
         params.variance_init = CV_BGFG_MOG_SIGMA_INIT*CV_BGFG_MOG_SIGMA_INIT;
-        params.minArea = CV_BGFG_MOG_MINAREA;
-        params.n_gauss = CV_BGFG_MOG_NGAUSSIANS;
+        params.minArea       = CV_BGFG_MOG_MINAREA;
+        params.n_gauss       = CV_BGFG_MOG_NGAUSSIANS;
     }
     else
     {
@@ -304,7 +309,7 @@ icvUpdateGaussianBGModel( IplImage* curr_frame, CvGaussBGModel*  bg_model )
             }
             icvGetSortKey( nChannels, sort_key, g_point, &bg_model_params );
             icvInsertionSortGaussians( g_point, sort_key, (CvGaussBGStatModelParams *)&bg_model_params );
-            icvBackgroundTest( nChannels, n, p, match, bg_model );
+            icvBackgroundTest( nChannels, n, i, j, match, bg_model );
         }
     }
     
@@ -567,7 +572,7 @@ static void icvGetSortKey( const int nChannels, double* sort_key, const CvGaussB
 }
 
 
-static void icvBackgroundTest( const int nChannels, int n, int p, int *match, CvGaussBGModel* bg_model )
+static void icvBackgroundTest( const int nChannels, int n, int i, int j, int *match, CvGaussBGModel* bg_model )
 {
     int m, b;
     uchar pixelValue = (uchar)255; // will switch to 0 if match found
@@ -575,7 +580,7 @@ static void icvBackgroundTest( const int nChannels, int n, int p, int *match, Cv
     CvGaussBGPoint* g_point = bg_model->g_point;
     
     for( m = 0; m < nChannels; m++)
-        bg_model->background->imageData[p+m]   = (unsigned char)(g_point[n].g_values[0].mean[m]+0.5);
+        bg_model->background->imageData[ bg_model->background->widthStep*i + j*nChannels + m]  = (unsigned char)(g_point[n].g_values[0].mean[m]+0.5);
     
     for( b = 0; b < bg_model->params.n_gauss; b++)
     {
@@ -586,7 +591,7 @@ static void icvBackgroundTest( const int nChannels, int n, int p, int *match, Cv
             break;
     }
     
-    bg_model->foreground->imageData[p/nChannels] = pixelValue;
+    bg_model->foreground->imageData[ bg_model->foreground->widthStep*i + j] = pixelValue;
 }
 
 /* End of file. */