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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Video Surveillance, Background Modeling, and Morphological Operations
In this chapter, we are going to learn how to detect a moving object in a video taken from a static camera. This is used extensively in video surveillance systems. We will discuss the different characteristics that can be used to build this system. We will learn about background modeling and see how we can use it to build a model of the background in a live video. Once we do this, we will combine all the blocks to detect the object of interest in the video.
By the end of this chapter, you should be able to answer the following questions:
- What is naive background subtraction?
- What is frame differencing?
- How do we build a background model?
- How do we identify a new object ...
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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.