July 2015
Intermediate to advanced
174 pages
3h 45m
English
Content preview from OpenCV Computer Vision with JavaBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 5. Object Detection Using Ada Boost and Haar Cascades
This chapter shows a very interesting feature of OpenCV—detecting faces in an image or a video stream. In the latter case, we call it face tracking. In order to do so, this chapter dives into machine-learning algorithms, specifically supervised learning with boosting. We will cover the Viola-Jones classifier and its theory as well as the details on how to use the face-trained classifiers that are bundled with OpenCV.
In this chapter, we will be covering the following topics:
- The boosting theory
- Viola-Jones classifier
- Detecting faces
- Learning new objects
By the end of this chapter, you will be able to understand the theory behind face classifiers through boosting, and the Viola-Jones classifier. ...
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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.