how to detect the objects from a video?

I have tried to convert the video into frames. And then to a binary images where the object is identified as a white patch,but I couldn't count the the objects. Moreover our project is based on the vehicle counting system using a ip camera. I dont have computer vision toolbox in matlab. Kindly,reply me back. This is the code,I have done so far,

        **clc
clear all

% Read movie

SF = 1; %Starting Frame

MV = mmreader('a.avi'); %To read Movie EF = MV.NumberofFrames ; %Ending Frame img = read(MV,1); %reading particular frame A = double(rgb2gray(img)); %motion vector works on Gray Image formate [height width] = size(A); %Movie size?

% motion estimation h1 = figure(1); for f = SF: EF %Frame from SF To EF B = A; img = read(MV,f); A = double(rgb2gray(img));

    %Foreground Detection
    thresh=11;
    fr_diff = abs(A-B);
    for j = 1:width
        for k = 1:height
        if (fr_diff(k,j)>thresh)
            fg(k,j) = A(k,j);
        else
                    fg(k,j) = 0;
        end
        end
    end

    subplot(2,2,1) , imagesc(img), title (['Orignal Sequence Frame#',int2str(f)]);
    subplot(2,2,2) , imshow(mat2gray(A)), title ('Previous Frame');
    subplot(2,2,3) , imshow(mat2gray(B)), title ('Next Frame');
    sd=imadjust(fg);
    level=graythresh(sd);
    m=imnoise(sd,'gaussian',0,0.025);
    k=wiener2(m,[5,5]);
    bw=im2bw(k,level);
    subplot(2,2,4) , imagesc(bw), title ('Foreground');
    hold off;
    pause (.1);
% saveas(h1,strcat('Result-Paris-',num2str(f)),'jpg');
end**

Answer 1

[jasche]

can you post a clearly intended code. Have you decided on an algorithm to binarize you input frames ?

One way to count targets can be to identify the maximum intensity point in the frame and find the connected region.

[Image Analyst]

He used graythresh() which is a binarization routine.

[aarthi ramasamy]

Since I'm new to matlab, I don't know how to implement the algorithms. My objective here is to count the objects that move in a video. Below code,converts the video into frames and then to grayscale . The grayscale frames are again converted into binary From where I can count the objects. But it leads to a wrong count. I'm failing in that part. I need your idea in solving the problem.

    clc
clear all
n=0;
% Read movie 
SF = 1; %Starting Frame
MV = mmreader('a.avi'); %To read Movie
EF = MV.NumberofFrames ; %Ending Frame
img = read(MV,1); %reading particular frame 
A = double(rgb2gray(img)); %motion vector works on Gray Image formate
[height width] = size(A); %Movie size?
% motion estimation 
 h1 = figure(1);
for f = SF: EF %Frame from SF To EF
    B = A; 
    img = read(MV,f);
    A = double(rgb2gray(img)); 
    %Foreground Detection
    thresh=11;
    fr_diff = abs(A-B);
    for j = 1:width
        for k = 1:height
        if (fr_diff(k,j)>thresh)
            fg(k,j) = 0;
        else
                   fg(k,j) = A(k,j); 
        end
        end
    end
    subplot(2,2,1) , imagesc(img), title (['Orignal Sequence Frame#',int2str(f)]);
    subplot(2,2,2) , imshow(mat2gray(A)), title ('Previous Frame');
    subplot(2,2,3) , imshow(mat2gray(B)), title ('Next Frame');
    sd=imadjust(fg);
    level=graythresh(sd);
    m=imnoise(sd,'gaussian',0,0.025);
    k=wiener2(m,[5,5]);
    bw=im2bw(k,level);
    [labeled,numObjects] = bwlabel(bw,4);
    n=n+numObjects;
    subplot(2,2,4) , imagesc(bw), title (['Foreground #',n]);
    hold off;
    pause (.1);
% saveas(h1,strcat('Result-Paris-',num2str(f)),'jpg');
end
disp(n);