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This library implements computer vision by the method of Eigenfaces. Detection is performed using the Haar algorithm.
- OpenCV (tested 2.4.2)
- Numpy (tested 1.6.2)
- Python 2.X
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Real-time recognition To start the example run:
$: python2.7 realtime.py
Select a portrait to save by entering the numeric key 1-9 and press space. Enter the name and press enter. The portrait should now write out the file name you just entered.
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Surveillance To start the example run:
$: python2.7 surveillance.py
The application records faces that can be recognized using Haar-detection. Faces are stored in folders by their data and the names are by the time. This application features improved tracking capabilites.