This project is concerned with fast frontal face and eye detection using the Viola-Jones object detection method.
- Obtain a dataset containing faces and non-faces and use OpenCV to train a Cascade classifier. OpenCV have a user guide to help you get started. Present and discuss your results in the evaluation section of your report.
- Obtain frontal face and eye cascades from here: https://github.com/opencv/opencv/tree/master/data/haarcascades. Write a program which uses these two cascades to detect faces and eyes in images you input to the program. Faces should be outlined with a green rectangle, and eyes should be outlined in red. For this artefact, use your webcam to do real-time video face and eye tracking (if you don’t have a webcam, you can use prerecorded videos taken with your phone).