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11: Tracking: Beyond 15 Minutes of Thought
Sunday, Half Day, 1:30 - 5 pm
Room 404

Every year, dozens of vendors display different systems for tracking motion capture at the SIGGRAPH exhibition. Why are there so many different approaches to this seemingly simple problem? How do the systems differ and what are the strengths and limitations of each approach? How can you decide which is appropriate for your application? This course provides a basic understanding of the available technologies and approaches, their fundamental limitations, and how those limitations can become problems. Attendees peek "under the hood" of a few systems so they might better understand system performance (or lack thereof) and improve their results by adjusting set-ups to better match the technology.

Prerequisites
A basic mathematical background, sufficient to understand explanations that involve beginning statistics, random signals, and geometric transformations.

Topics
Basic mathematical foundations (statistics, random signals, and transforms). Sensor and system information and uncertainty. Technologies and sensing mediums for tracking. Geometric configurations and related sensitivity. Examples of algorithms for magnetic, inertial, and optical systems. Hybrid technology approaches. Motion prediction (world and body-centric). Sources and propagation of error.

Organizers
Gary Bishop
Gregory Welch

University of North Carolina at Chapel Hill

Lecturers
B. Danette Allen
Gary Bishop
Gregory Welch

University of North Carolina at Chapel Hill


 

 

 

 

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