Face detection and tracking

Face detection refers to detecting the location of a face in a given image. This is often confused with face recognition, which is the process of identifying who the person is. A typical biometric system utilizes both face detection and face recognition to perform the task. It uses face detection to locate the face and then uses face recognition to identify the person. In this section, we will see how to automatically detect the location of a face in a live video and track it.

Using Haar cascades for object detection

We will be using Haar cascades to detect faces in the example video. Haar cascades, in this case, refers to cascade classifiers based on Haar features. Paul Viola and Michael Jones first came up with this object detection method in their landmark research paper in 2001. You can check it out here:

https://www.cs.cmu.edu/~efros/courses/LBMV07/Papers/viola-cvpr-01.pdf

In their paper, they describe an effective machine learning technique...