This session is a discussion of computer vision systems--intelligent systems that use cameras and make decisions based on what they see. Let's talk about these great systems, how we use them to solve problems, their strengths, their limitations, recent developments, issues we've encountered in our work, and where the field might be going. This is intended to be a discussion session, not a presentation, so make sure to bring questions and specific topics you want to talk about! There is no particular level intended for this session, just interest in computer vision: come if you have never used a computer vision before, if you live and breath vision algorithms at work, or if you are anywhere in between.
Nate is the Principal Algorithm Development Engineer at Image Sensing Systems in St. Paul. There, he conceives, develops, implements, tests, and maintains computer vision algorithms for applied, real-time, 24/ 7/ 365, real-world monitoring systems. Previously, Nate worked as a university professor in Ohio. Nate earned his Ph.D. in computer science from the University of Minnesota in 2009 with research focused on computer vision and robotics.