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Matlab Code for Video Motion estimation

clc;

foregroundDetector = vision.ForegroundDetector('NumGaussians', 3, ...

'NumTrainingFrames', 50);

V=VideoReader('bac cifix 15 min.avi');

videoReader = vision.VideoFileReader('sample.avi');

for i = 1:150

frame = step(videoReader); % read the next video frame

foreground = step(foregroundDetector, frame);

end

imwrite(frame,'C:\Abhishek\Paper\BlockMatchingAlgoMPEG\Video_Velocity\new.jpg','jpg');

videoPlayer = vision.VideoPlayer('Name', 'Detected Subtitlis');

videoPlayer.Position(3:4) = [650,400]; % window size: [width, height]

se = strel('square', 3); % morphological filter for noise removal

referenceimage=imread('C:\Abhishek\Paper\BlockMatching\Video_Velocity\new.jpg');

X=zeros(2,121);

Y=zeros(2,121);

Z=zeros;

while ~isDone(videoReader)

frame = step(videoReader); % read the next video frame

% Detect the foreground in the current video frame

foreground = step(foregroundDetector, frame);

% Use morphological opening to remove noise in the foreground

filteredForeground = imopen(foreground, se);

%-----------------------SPEED ---------------------------%

frame2=((im2double(frame))-(im2double(referenceimage)));

frame1=im2bw(frame2,0.1);

[Labelimage]=bwlabeln(frame1);

stats=regionprops(Labelimage,'basic');

BB=stats.BoundingBox;

i=2; %fblasst for

X(i)=BB(1);

Y(i)=BB(2);

Dist=((X(i)-X(i-1))^2+(Y(i)-Y(i-1))^2)^(1/2);

Z(i)=Dist;

M=median(Z);

%disp(M);

%clc;

%disp('speed=')

Speed=((M)*(120/8))/(4);

%disp(Speed);

%SPEED = M ???????????

i = i + 1;

SE = strel('disk',6);

frame3=imclose(frame1,SE);

step(videoReader);

pause(0.05);

%if(i==121) end; ??

%-----------------------SPEED ---------------------------%

% Detect the connected components with the specified minimum area, and

% compute their bounding boxes

blobAnalysis = vision.BlobAnalysis('BoundingBoxOutputPort', true, ...

'AreaOutputPort', true, 'CentroidOutputPort', true, ...

'MinimumBlobArea', 150);

%bbox = step(blobAnalysis, filteredForeground);

[areas, centroids, bbox] = step(blobAnalysis, filteredForeground);

% Draw bounding boxes around the detected cars

result = insertShape(frame, 'Rectangle', bbox, 'Color', 'green');

% Display the number of cars found in the video frame

%ICI

disp(centroids);

disp(size(centroids));

numCars = size(bbox, 1); %cars ...

numCars_str = ['Frame:', num2str(size(bbox, 1))];

speed_str = [num2str(Speed),'KM/h'];

result = insertText(result,[10,10],numCars_str, 'BoxOpacity', 1, ...

'FontSize', 14);

for i=1:size(bbox, 1)

result = insertText(result,[centroids(i,1),centroids(i,2)], speed_str, 'BoxOpacity', 1, ...

'FontSize', 20);

end;

step(videoPlayer, result); % display the results

end;

release(videoReader); % close the video file

Abhishek posted in Technical

Post updated on: Sep 6, 2020 10:53:00 AM

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Matlab Code for Video Motion estimation

Postgress Setup