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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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
引用
Kevin Chng (2026). Real-Time Facial Recognition Using HOG Features (https://github.com/KevinChngJY/real_time_facial_recognition/releases/tag/1.1), GitHub. に取得済み.
一般的な情報
- バージョン 1.1 (758 KB)
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GitHub でライセンスを表示
MATLAB リリースの互換性
- すべてのリリースと互換性あり
プラットフォームの互換性
- Windows
- macOS
- Linux
| バージョン | 公開済み | リリース ノート | Action |
|---|---|---|---|
| 1.1 | See release notes for this release on GitHub: https://github.com/KevinChngJY/real_time_facial_recognition/releases/tag/1.1 |
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| 1.0.7 | Modify some error in coding |
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| 1.0.6 | Change Description |
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| 1.0.5 | Change Description |
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| 1.0.4 | Add Citation |
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| 1.0.3 | fixing bug |
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| 1.0.2 | Change Description |
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| 1.0.1 | Change Description |
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| 1.0.0 |
