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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What happened in the code?
Let's quickly go through the code and see what's happening there. We use the Mixture of Gaussians model to create a background subtractor object. This object represents the model that will be updated as and when we encounter new frames from the webcam. We initialized two background subtraction models—BackgroundSubtractorMOG and BackgroundSubtractorMOG2. They represent two different algorithms that are used for background subtraction. The first one refers to the paper by P. KadewTraKuPong and R. Bowden, titled An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection. You can check it out at http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/avbs01/avbs01.pdf. The second ...
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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.