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Home > Robohub Podcast > ep.222: 100/100 Computer Vision Challenge, with Dieter Fox
Podcast: Robohub Podcast
Episode:

ep.222: 100/100 Computer Vision Challenge, with Dieter Fox

Category: Technology
Duration: 00:00:00
Publish Date: 2016-11-26 07:00:00
Description:
In this episode, Audrow Nash interviews Dieter Fox, Professor in the Department of Computer Science and Engineering at the University of Washington, about the 100/100 Computer Vision Tracking Challenge. This is a self-imposed challenge to understand 100% of the pixels in an image 100% of the time in video footage; this includes understanding semantic information. Such understanding would allow robots to assist humans more naturally in environments like a home kitchen, wet lab, or in disaster response. To accomplish this challenge, Fox discusses challenges which include modeling, tracking, and detecting articulated objects.
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