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AIC Seminar Series

Recovering Human Shape and Motion from Video Sequences

Pascal FuaComputer Graphics Lab, EPFL

Date:  2002-08-15 at 14:30

Location:  EJ228  (Directions)

   Abstract

In recent years, there has been increasing interest in extracting human shape and motion parameters from image data. This is a due, in part to the fact that cameras are getting ever more prevalent, and in part to the fact that computers have become powerful enough to take advantage of them. This ability to model humans has many applications, such as smart interfaces, surveillance, electronic publishing, entertainment, sports medicine and athletic training among others. Such modeling, however, is an inherently difficult task, both because the body is very complex and because the data extracted from images is often incomplete, noisy and ambiguous. In this talk, I will present the approach we have developed to overcome these difficulties. We start from sophisticated 3-D animation models and reformulate them so that they can be used for data analysis. We use them, not only to represent faces and bodies in motion, but also to guide the interpretation of the image data, thereby substantially improving performance. Using complex video sequences, I will highlight the effectiveness of our approach to video-based shape and motion capture and demonstrate the applicability of our technology in different fields of Computer Science. Finally, I will present some open research issues and discuss our plans for future developments.

   Bio for Pascal Fua

Pascal Fua is visiting the AI Center from the Computer Graphics Lab at the EPFL in Switzerland, http://ligwww.epfl.ch/vision/

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