Calculating speed of moving object

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Mariana Veloso
Mariana Veloso 2021-6-29
回答： Harikrishnan Balachandran Nair 2021-8-18
Hi,
I've successfully tracked an object, more specifically a fish, that's alone in an aquarium. The next step is to calculate it's speed, through the use of the centroid. My idea was to calculate the distance between the centroids frame by frame. How can I do it? I'm stuck and don't really know how to do it.
Appreciate any help.
Here's the code I used to track the fish:
clear
close all
dataDir = '/Users/marianaveloso/Desktop/MATLAB';
cd(dataDir)
video = VideoReader('P1070143_15.MOV');
get(video);
nFrames = video.NumFrames;
vidHeight = video.Height;
vidWidth = video.Width;
cgFrames=video.FrameRate;
n0= 3900
nf= 12610
Area = read (video, 1);
figure;
imshow(Area, []);
set(gcf, 'Position', get(0,'Screensize'));
message = sprintf('Left click and hold to begin drawing.\nSimply lift the mouse button to finish');
uiwait(msgbox(message));
hFH = drawfreehand();
binaryImage = hFH.createMask();
Background = read (video, 1);
h = fspecial('gaussian',7,3);
background_gray=rgb2gray(Background);
background_gray= imadjust (background_gray);
background_gray=imcomplement(background_gray);
background_bw=imbinarize(background_gray,0.36);
mat=zeros(size(background_bw));
n=1;
for i= n0:nf % i=m:s:n
test=read(video,i);
test_gray=rgb2gray(test);
test_gray= imadjust (test_gray);
test_gray=imcomplement(test_gray);
test_bw=imbinarize(test_gray,0.39);
test_dif=test_bw-background_bw;
test_dif(binaryImage<1)=0;
test_dif2=medfilt2(test_dif,[3 3]);
test_dif2(test_dif2<0)=0;
cc = bwconncomp(test_dif2);
stats = regionprops(cc, 'Area','centroid');
idx = find([stats.Area]==max([stats.Area]));
test_dif4= ismember(labelmatrix(cc), idx);
a = regionprops(test_dif4,'centroid','area');
co(n,:)=a(1,1).Centroid;
else
co(n,:)=[0 0];
end
areas=[];
hold on
for i=1:length(a)
plot(co(n,1),co(n,2),'ro');
end
hold off
mat=mat+test_dif4;
n=n+1
end

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回答（1 个）

Harikrishnan Balachandran Nair
Hi,
From my understanding, you want to find the distance between the centroids of the object ,that you have already tracked, in different frames. This can be done by storing the co-ordinates of centroid of the object that you have tracked, in the current frame ,in a variable, at the end of each iteration. The centroid of the same object in the next frame can be calculated in the next iteration, and using the co-ordinate that was stored in the previous iteration of the loop, you can compute the euclidean distance between both the points. As an example, at the kth iteration, the distance the object has moved can be calculated as :
distCovered(k) = sqrt(sum((centroids(k,:)-centroids_old(k,:)).^2));

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