January 2018
Intermediate to advanced
268 pages
6h 20m
English
Content preview from OpenCV 3.x with Python By Example - Second Edition
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Detecting and Tracking Different Body Parts
In this chapter, we are going to learn how to detect and track different body parts in a live video stream. We will start by discussing the face detection pipeline and how it's built from the ground up. We will learn how to use this framework to detect and track other body parts, such as eyes, ears, and mouth.
By the end of this chapter, you will know:
- How to use Haar cascades
- What integral images are
- What adaptive boosting is
- How to detect and track faces in a live video stream
- How to detect and track eyes in a live video stream
- How to automatically overlay sunglasses on top of a person's face
- How to detect eyes, ears, and mouth
- How to detect pupils using shape analysis
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.