March 2020
Intermediate to advanced
366 pages
9h 8m
English
book
OpenCV 4 with Python Blueprints - Second Edition
by Dr. Menua Gevorgyan, Michael Beyeler (USD), Arsen Mamikonyan, Michael Beyeler
Content preview from OpenCV 4 with Python Blueprints - Second Edition
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Understanding the Kalman filter
The Kalman filter is a statistical model that has a wide range of applications in signal processing, control theory, and statistics. The Kalman filter is a complex model, but it could be thought of as an algorithm to de-noise the observations of an object that contain a lot of noise over time when we know the dynamics of the system with certain accuracy.
Let's look at an example, to illustrate how the Kalman filter works. Imagine we want to find the location of a train that moves on rails. The train will have a velocity, but unfortunately, the only measurements we have are from radar, which only shows the location of the train.
We would like to accurately measure the location of the train. If we were to look ...
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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.