March 2019
Intermediate to advanced
538 pages
13h 38m
English
book
Building Computer Vision Projects with OpenCV 4 and C++
by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
Content preview from Building Computer Vision Projects with OpenCV 4 and C++
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The Mixture of Gaussians approach
Before we talk about Mixture of Gaussians (MOG), let's see what a mixture model is. A mixture model is just a statistical model that can be used to represent the presence of subpopulations within our data. We don't really care about what category each data point belongs to. All we need to do is identify that the data has multiple groups inside it. If we represent each subpopulation using the Gaussian function, then it's called Mixture of Gaussians. Let's consider the following photograph:
Now, as we gather more frames in this scene, every part of the image will gradually become a part of the background model. ...
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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.