136 cvCreateGaussianBGModel( IplImage* first_frame, CvGaussBGStatModelParams* parameters )  in cvCreateGaussianBGModel()  argument
166     if( !CV_IS_IMAGE(first_frame) )  in cvCreateGaussianBGModel()
179         ((first_frame->width*first_frame->height) + 256)));  in cvCreateGaussianBGModel()
181     CV_CALL( bg_model->background = cvCreateImage(cvSize(first_frame->width,  in cvCreateGaussianBGModel()
182         first_frame->height), IPL_DEPTH_8U, first_frame->nChannels));  in cvCreateGaussianBGModel()
183     CV_CALL( bg_model->foreground = cvCreateImage(cvSize(first_frame->width,  in cvCreateGaussianBGModel()
184         first_frame->height), IPL_DEPTH_8U, 1));  in cvCreateGaussianBGModel()
192         (first_frame->width*first_frame->height + 128)));  in cvCreateGaussianBGModel()
194     for( i = 0, n = 0; i < first_frame->height; i++ )  in cvCreateGaussianBGModel()
196         for( j = 0; j < first_frame->width; j++, n++ )  in cvCreateGaussianBGModel()
198             const int p = i*first_frame->widthStep+j*first_frame->nChannels;  in cvCreateGaussianBGModel()
204             for( m = 0; m < first_frame->nChannels; m++)  in cvCreateGaussianBGModel()
207 …           bg_model->g_point[n].g_values[0].mean[m] = (unsigned char)first_frame->imageData[p + m];  in cvCreateGaussianBGModel()
213                 for( m = 0; m < first_frame->nChannels; m++){  in cvCreateGaussianBGModel()