Single Object Tracking

~ with Haar algorithm ~

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In this project Haar cascade is used to detect and track faces and eyes in a video. Haar is a machine learning algorithm used for object detection. The algorithm model is trained with a lot of positive images of faces and a lot of negative images that don't include any face in them. Haar algorithm identifies and labels the eyes and face separetly. In this simple example we track the facial expressions of a woman in a video.

The project was made using

  • Python 3.8
  • OpenCV