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How to count the vehicles of non-uniform speed in a video without using computer vision toolbox?
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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) = 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);
[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);
The above is the code,which converts the frames into binary images and find the frame difference to detect the foreground objects. But it doesnt compute the correct count because I dont know to fix the correct interval between frames. Kindly help me in completing it.
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