August 2024
Intermediate to advanced
370 pages
9h 45m
English
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Chapter Seven: Action recognition in egocentric video
Abstract
In this chapter, we address recognition and localization of single as well as multiple actions from egocentric video. We propose two solutions to this problem. As the first solution, we apply random walks to recognize single action. In a more comprehensive second solution, we propose a superpixel level weakly supervised graph-theoretic framework for joint localization, recognition, and summarization of actions. Here, we recognize and localize single as well as multiple action(s) in each frame of an egocentric video, and construct a summary of these detected actions. The superpixel level solution helps in precise localization of actions in addition to improving the recognition accuracy. ...
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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.