21. Database Techniques With Motion Capture

Monday
Tutorial, 3:15 - 5:30 pm
Level: Intermediate
Room 8

Motion-capture databases are now large, varied, and widely used. This course covers techniques that are useful for organizing, processing, and navigating such databases. Topics include choice of distance function, indexing for fast retrieval, and time-series prediction for stitching, segmentation, and outlier detection. Current and potential applications are discussed.

Prerequisites

Typical knowledge derived from undergraduate studies in computer science.

Intended Audience

Researchers who want to get up to speed with the major tools for indexing and processing large motion-capture databases. Also practitioners who want a concise, intuitive overview of the state of the art.

Organizer

Nancy Pollard
Carnegie Mellon University
Nsp (at) cs.cmu.edu

Lecturers

Christos Faloutsos
Jessica K. Hodgins
Carnegie Mellon University