2-D frame correlation

Hassan Al-Khateeb

2019 3 6

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clear

camera is that reports a video frame (30 frames/second and maximum 300 frames) at instant t

represented by the vector F(x, y, t) = [FR(x, y, t) FG(x, y, t) FB(x, y, t)],

where x and y are the coordinates of the pixel in

the frame, while FR, FG and FB represent the level of RGB

components at this pixel.

The 2-D correlation between the current frame and a previous frame at instant to can be dened

by the vector C as follows:

C=[Cr;Cg;Cb]=[corr(Fr(x,y,t),Fr(x,y,t0));corr(Fg(x,y,t),Fg(x,y,t0)) ;corr(Fb(x,y,t) ;Fb(x,y,t0))]

How can I represent The 2-D correlation between the current frame and a previous frame at instant t0 (modify this below code) ?

all
close all
clc
%step_1
%%Extract frames from video
%% source https://youtu.be/GF6guS2DIWY
a=VideoReader('camera.mp4');
% for img=1:a.NumberOfFrames;
 for img=1:300;
    filename=strcat('frame',num2str(img),'.jpg');
    b=read(a,img);
    imwrite(b,filename);
 end
 
 
 %step_2
 %%%read the download frames from video%%%%
 
 
 %quantization each R,G,B equivalently to 8*8*8
NumberOfLevelsForR=8;
NumberOfLevelsForG=8;
NumberOfLevelsForB=8;
N=NumberOfLevelsForR*NumberOfLevelsForG*NumberOfLevelsForB;
%Enter name of folder from where you want to upload pictures with full path 
srcFile=dir('C:\Users\M7MD\Desktop\EXTVIDEO\*.jpg');
   
for i=1:length(srcFile)
    filename=strcat('C:\Users\M7MD\Desktop\ExtractFramesFromVideo\',srcFile(i).name);
    I=imread(filename);
%split image into R,G & B
R=double(I(:,:,1));
G=double(I(:,:,2));
B=double(I(:,:,3));
[x,y,z]=size(I);
%create final histogram matrix of size 8*8*8
hist=zeros(NumberOfLevelsForR, NumberOfLevelsForG, NumberOfLevelsForB);
%create col vector of indicies for later refernce
rows=x;cols=y;
index=zeros(rows*cols, 3);
%%%(Maximum Level D 255) for each of the R, G and B components
 MR=ceil(NumberOfLevelsForR.*R/255);
 MG=ceil(NumberOfLevelsForG.*G/255);
 MB=ceil(NumberOfLevelsForB.*B/255);
 
 %2-D frame autocorrelation  between current and previous
 if i>1
 
 corrR(i)=corr2(MR(i),MR(i-1));
 corrG(i)=corr2(MG(i),MG(i-1));
 corrB(i)=corr2(MB(i),MB(i-1));
 end
 
 C=[corrR;corrG;corrB];
 
end