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Image Processing has enormous applications to support our life. One of the great use of Image Processing is recognizing the number of people from any frame. Do you want to build your personal face detector using MATLAB for your academic project or Do you want to amaze your friends and family with a functioning GUI Application? If yes, continue reading the blog.
Coding Part
Initialization
clc; clear;close all;
vidObj = VideoReader('GOT.mp4'); % Use your mp4 file
vidObj.CurrentTime = 4; % Capturing Live Feed from Camera
faceDetector = vision.CascadeObjectDetector(); % Finds faces by default
tracker = MultiObjectTrackerKLT;
Video Player & Iteration until we have successfully detected a face
videoPlayer = vision.DeployableVideoPlayer;
bboxes = [];
while isempty(bboxes)
framergb = readFrame(vidObj);
frame = rgb2gray(framergb);
bboxes = faceDetector.step(frame);
videoPlayer.step(framergb);
end
tracker.addDetections(frame, bboxes);
% And loop until the player is closed
frameNumber = 0;
keepRunning = true;
Main Loop to Track and Display
while keepRunning
framergb = readFrame(vidObj);
frame = rgb2gray(framergb);
if mod(frameNumber, 10) == 0
%(Re)detect faces.
% NOTE: face detection is more expensive than imresize; we can
% speed up the implementation by reacquiring faces using a
% downsampled frame:
bboxes = 2 * faceDetector.step(imresize(frame, 0.5));
if ~isempty(bboxes)
tracker.addDetections(frame, bboxes);
end
else
% Track faces
tracker.track(frame);
end
% Display bounding boxes and tracked points.
if ~isempty(tracker.BoxIds)
displayFrame = insertObjectAnnotation(framergb, 'rectangle',...
tracker.Bboxes, 'Detected');
displayFrame = insertMarker(displayFrame, tracker.Points);
count = length(tracker.BoxIds);
position=[1,1];
value= sprintf('%d People in the Frame',count);
displayFrame= insertText(displayFrame,position,value);
videoPlayer.step(displayFrame);
frameNumber = frameNumber + 1;
keepRunning = isOpen(videoPlayer);
else
bboxes = [];
while isempty(bboxes)
framergb = readFrame(vidObj);
frame = rgb2gray(framergb);
bboxes = faceDetector.step(frame);
videoPlayer.step(framergb);
end
tracker.addDetections(frame, bboxes);
%And loop until the player is closed
frameNumber = frameNumber + 1;
keepRunning = true;
end
end
Clean up Video Player
release(videoPlayer);
faceDetector = vision.CascadeObjectDetector();
pedestrianDetector = vision.PeopleDetector;
clear vidObj;
Results
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How to upload video file in matlab. I am doing project on face recognition and face count ..
Hi Anurag, you can use the inbuilt function ‘VideoReader’, syntax as below:
vidObj = VideoReader(‘filename.mp4’);
You can add the video to your current directory by simply dragging dropping the video into it. I hope that clears your doubt. If not you can comment or directly get in touch with our team at [email protected]
I’m facing a challenge here with the code. when I execute it tells me this: Undefined function or variable ‘MultiObjectTrackerKLT’.
Error in EntireCode (line 5)
tracker = MultiObjectTrackerKLT;
Hi Jayson, you will have to download the resources from above or use the link: https://gitlab.com/matlabhelperteam/wolfie/-/tree/master/Face%20Detection%20Counter%20Blog
Here you can find a separate file ‘MultiObjectTrackerKLT.m’ which contains the function. By putting the file in the same working directory, you should be able to execute the code as mentioned in the blog and video.
Hope you are able to get the desired output! Please feel free to drop another comment, if you face any difficulties.
I need some help regarding my project. If u could then pls contact me whatsapp 9453955033