how can i classifying vehicle on road using svm

hi..im new in matlab my title is classifying vehicle using svm. anyone help for the script and send the code to me

[Adam]

Don't include your e-mail address in a public forum. Also you are highly unlikely to get someone willing to just do all your work for you and send you code! Put some effort into doing some research and trying yourself and then people will help with issus that you come across when doing that.

[valli g]

clc clear all close all t=dir('D:\project\frame'); t1=struct2cell(t); t2=t1(1,3:end); p2 = [150,640]; p3= [150,1]; q3 = [200,640]; q2 = [200,1]; thcar=7; %figure('name','Vehicle Image','numbertitle','off') %% image read & rgb to gray conversion for i=1:85 im{i}=imread(strcat('D:\project\frame\',t2{i})) ; if size(im{i},3)>1 im{i}=rgb2gray(im{i}); end imshow(im{i}); hold on plot([p2(2),p3(2)],[p2(1),p3(1)],'Color','r','LineWidth',2) plot([q2(2),q3(2)],[q2(1),q3(1)],'Color','b','LineWidth',2) pause(0.1) end %% line drawing on images %figure('name','Vehicle crop Image','numbertitle','off') for i=1:length(im) im1{i}=imcrop(im{i},[p3(2) p2(1) q3(2) q3(1)-p2(1)]) ; imshow(im1{i}) %pause(0.1) end %% diffrentiated images figure('name','diffretiated Image','numbertitle','off') ZC=0; for i=1:length(im1)-1

    %     d{i}=im1{i}-im1{i+1};
    diff_im = imabsdiff(im1{i},im1{i+1});
    temp= im2bw(diff_im,0.15);
    [x,y]=find(temp);
    I=zeros(size(temp));
    Ix=im1{i+1};
    for i=1:length(x)
        I(x(i),y(i))=Ix(x(i),y(i));
    end
%     d{i}=I;
     imshow(I)
    %imtool(d{i});
%     pause(0.2)
    hold on
    blobAnalysis = vision.BlobAnalysis('BoundingBoxOutputPort', true, ...
        'AreaOutputPort', false, 'CentroidOutputPort', false, ...
        'MinimumBlobArea', 500);

    bbox = step(blobAnalysis, temp);000
    result = insertShape(Ix ,'Rectangle', bbox, 'Color', 'green');
      ZC=ZC+(size(bbox,5)/thcar);
      Zb=ZC;
        resultt= insertText(result,[10 10],round(Zb(:)),'BoxOpacity', 1, ...
           'FontSize', 15);
        YO=imshow(resultt);
        dd=size(resultt);
        title('Detected Cars');
         k=msgbox('cars');
         close(k);

end if ZC>=3.0

        for i=0:length(ZC)
             r=k/1200.33;
             totalTRUCKS =round(r);
         end
        title('Detected TRUCKS');
      msgbox(sprintf('totalTRUCKS = %2.3g\n',totalTRUCKS));
    end
    for i=0:length(Zb)
             r=k/k*ZC-totalTRUCKS;
             totalCARS =round(r);
         end

 msgbox(sprintf('totalCARS = %2.3g\n',totalCARS));

the above code is used to counting the car & truck on video.. bt the differentiate image is placed for croping.. how can i remove and get the output...

[valli g]

the truck vehicle does not count correctly plz anyone modify my code