Real-Time Facial Recognition Using HOG Features

versión 1.1 (758 KB) por Kevin Chng
This example is basically to demonstrate how to register a new face, label new face, extract features and recognise the face in real time.

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Actualizada 7 Dec 2020

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Overview :

This example demonstrates how to register a new face, label new face, extract features and recognise the face in real time.It is a very interesting topic. However, in this example, we are not particular in the accuracy, instead of that, i'm demonstrating the workflow. In order to increase the accuracy, we might need to extract more features for machine learning.
There are many examples available online, some links are provided below, you may take a look at their example.

Example 1: How to activate your webcam
https://www.mathworks.com/videos/webcam-support-89504.html
Example 2 : Face Detection and Tracking Using Live Video Acquisition
https://www.mathworks.com/help/vision/examples/face-detection-and-tracking-using-live-video-acquisition.html
Example 3: Code for Face Recognition with MATLAB Webinar
video : https://www.mathworks.com/videos/face-recognition-with-matlab-100902.html
Example 4 : Detecting Faces in Image
https://blogs.mathworks.com/pick/2014/03/14/detecting-faces-in-images/
Example 5 : Facial Recognition using Kekre transform
https://www.mathworks.com/matlabcentral/fileexchange/32284-face-recognition-system-using-kekre-transform
Example 6 : Real-time Face Recogn
https://www.mathworks.com/matlabcentral/fileexchange/46674-real-time-face-recognition-and-detection-system
Example 7 : Creating a Cloud Based People Counter Using MATLAB (ThingSpeak)
https://www.mathworks.com/matlabcentral/fileexchange/58435-creating-a-cloud-based-people-counter-using-matlab

Highlights :
Registration of New Face in Webcam through Image Acquisition Toolbox
Label of New Face captured by Webcam
Extract Features for Machine Learning
Machine Learning and Prediction
Performs Real-Time Facial Recognition

Product Focus :
MATLAB
Image Acquisition Toolbox
Image Processing Toolbox
Computer Vision System Toolbox
Machine Learning and Statistic Toolbox

Written at 1 October 2018

Citar como

Kevin Chng (2022). Real-Time Facial Recognition Using HOG Features (https://github.com/KevinChngJY/real_time_facial_recognition/releases/tag/1.1), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2018b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux

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Para consultar o informar de algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o informar de algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.