E8: Tracking

Everyone likes tracking faces and eyes.

Objective

Write code to detect faces and eyes using OpenCV’s Haar Cascades classifier.

• You will need two data files: haarcascade_frontalface_alt.xml and haarcascade_eye.xml (they should be in your install, but you can also find them here)

• Test your code with an image with multiple faces. You can see my results below. Note the classifier is not perfect, write about what it has trouble classifying and what it falsely classifies as a face or eye.

• Write code to detect faces and eyes in live video. Write about your results: are they good? Is it fast?

Submit

Follow the submission instructions on the course information page. Include your code and at least one frame capture from each objective that clearly shows everything was working. In your solution notes, write about any problems you ran into, and the main resource(s) you used (blog posts, online tutorials, stackoverflow posts, papers, textbooks, etc.). These resources should include brief descriptions of what the resource is and how it helped you. The writeup can be short, bullet points are recommended.

You must combine your code, screen captures, and notes together into a single PDF. The best way to do this is by doing everything in a single Jupyter notebook using markdown cells for your notes and inline images for your output. Then just export as PDF.