Abstract #302084

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JSM 2003 Abstract #302084
Activity Number: 3
Type: Invited
Date/Time: Sunday, August 3, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #302084
Title: Statistical Modeling of Trajectories from Video Data
Author(s): Padhraic Smyth*+ and Scott Gaffney and Sridevi Parise
Companies: University of California, Irvine and University of California and University of California
Address: Information and Computer Science, Irvine, CA, 92697-3425,
Keywords: video data ; mixture models ; detection ; clustering
Abstract:

Automated analysis of human and object trajectories in video data leads to a number of interesting and challenging inference problems of a statistical nature, including detection, tracking, prediction, and clustering. This talk will provide an overview of this general class of problems and discuss a variety of recently developed techniques that leverage ideas from both computer science and statistics. The talk will conclude with a brief discussion of potential future contributions of statistical methodologies in this area.

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Revised March 2003