distance between object moving

How do i find the distance between these two cars??

inout both image, see for the cahnge and then find the distance.

a= imread( 'car1.png')

b = imread('car2.png')

c = corr2(a,b); %finding the correlation btwn two images

if c==1

disp('The images are same')%output display

else

disp('the images are not same')

end;

k=2; for i=1:1:length(g)-1 x(i) = g(i).Centroid(1); y(i) = g(i).Centroid(2);

x(k)=g(k).Centroid(1); y(k)=g(k).Centroid(2);

distance=sqrt((x(i)-x(k))^2+(y(i)-y(k))^2);

Answer 1

[Prabhan Purwar]

The following code illustrates the working of regionprops()function to determine the boundary along with the connected components.

Assumption: It is assumed that the camera is fixed at a point and captures images.

clc
close all
clear 
 
a= imread( 'car1.png');         %Read images
b = imread('car2.png');
a=rgb2gray(a);    
b=rgb2gray(b);
 
d=a-b;                          %Background Substraction
BW=d;
 
BW=medfilt2(BW);                %Median Filter
BW=edge(BW,'Canny',0.2);        %Edge detection
 
se = strel('line',11,90);       %Dilate Image
BW = imdilate(BW,se);
imshow(BW)
 
labeledImage = bwlabel(BW);     %Labeling and Bounding Box around car
measurements = regionprops(labeledImage, 'BoundingBox', 'Area');
for k = 1 : length(measurements)
  thisBB = measurements(k).BoundingBox;
  rectangle('Position', [thisBB(1),thisBB(2),thisBB(3),thisBB(4)],...
  'EdgeColor','r','LineWidth',2 )
end
 
b1=measurements(1).BoundingBox;   %Measuring distance
b2=measurements(2).BoundingBox;
x1=b1(1,1)+b1(1,3)/2;
x2=b2(1,1)+b2(1,3)/2;
y1=b1(1,2)+b1(1,4)/2;
y2=b2(1,2)+b2(1,4)/2;
hold on
scatter(x1,y1);
scatter(x2,y2);
line([x1 x2], [y1 y2]);
distance=sqrt((x2-x1)^2 + (y2-y1)^2); %Distance

Output:

Refer to the following link for further information:

• https://www.mathworks.com/help/images/ref/regionprops.html(regionprops)
• https://www.mathworks.com/help/vision/examples/object-detection-using-faster-r-cnn-deep-learning.html(Object detection using R-CNN Deep Learning)
• https://www.mathworks.com/help/deeplearning/ug/pretrained-convolutional-neural-networks.html(Alternatively R-CNN could be used with the help of pre trained network)