Codebook for background-foreground segmentation

Can someone please explain me how to write a code for codebook model for background-foreground segmentation on image sequence? I've read the paper about in Real-time Foreground-Background segmentation using codebook model by Kyungnam KIm. But because I am a beginner in image processing and also using MATLAB therefore I have no idea how to write the code for my research.

I am trying to write based on my understanding following the guideline on that paper:

close all; clear all; clc;

%Set the number of training frames

background = imread('C:\Users\View_001\frame_1.jpg');

numofframes= 100; threshold = numofframes/2;

bg_bw = double(rgb2gray(background));

fr_size = size(background); width = fr_size(2); height = fr_size(1); fg = zeros(height, width);

for j = 1:numofframes jpgFilename = strcat('C:\Users\View_001\frame_', int2str(j), '.jpg'); fr_img = imread(jpgFilename); fr_img = double (fr_img);

%foreground_img = (abs(double(fr_img) - double(bg_bw))); 

%decompose the RGB components within the image
Img_R = fr_img(:,:,1)>threshold;
Img_G = fr_img(:,:,2)>threshold;
Img_B = fr_img(:,:,3)>threshold;

xt=  R.^2 + G.^2 + B.^2;
xt= (xt).^0.5;

%Normalized the RGB image color

 [row, col] size (fr_img(:,:,1));

 for y= 1:row %number of rows in image
     for x = 1:col %number of columns in the image
         Red  = Img_R (x,y);
         Green= Img_G (x,y);
         Blue = Img_B (x,y);

         Normalized_R = Red/xt;
         Normalized_G = Green/xt;
         Normalized_B = Blue/xt;

     end
 end

and I am stucking on the normalized image and after that I have no idea to do.

Here the instruction from the paper:

I wish someone can teach me how to write the code.. Thank you

[sanaa]

Sir/ Madame

Did you get any luck with this Code ??? Actually i'm working on the same program and i'm stuck , i need code for codebook model for background-foreground segmentation on image sequence? I've read the paper about in Real-time Foreground-Background segmentation using codebook model by Kyungnam KIm.

Thank you