October 2015
Intermediate to advanced
230 pages
5h 10m
English
Content preview from OpenCV with Python BlueprintsBecome 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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Summary
In this chapter, we explored a way to label the potentially interesting objects in a visual scene, even if their shape and number is unknown. We explored natural image statistics using Fourier analysis, and implemented a state-of-the-art method for extracting the visually salient regions in the natural scenes. Furthermore, we combined the output of the salience detector with a tracking algorithm to track multiple objects of unknown shape and number in a video sequence of a soccer game.
It would now be possible to extend our algorithm to feature more complicated feature descriptions of proto-objects. In fact, mean-shift tracking might fail when the objects rapidly change size, as would be the case if an object of interest were to come straight ...
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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.