Visual tracking of highly articulated objects using massively parallel processors

Lin, Dennis

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https://hdl.handle.net/2142/29829 Copy

Description

Title

Visual tracking of highly articulated objects using massively parallel processors

Author(s)

Lin, Dennis

Issue Date

2012-02-06T20:20:23Z

Director of Research (if dissertation) or Advisor (if thesis)

Huang, Thomas S.

Committee Member(s)

• Ahuja, Narendra
• Forsyth, David A.
• Hwu, Wen-Mei W.

Department of Study

Electrical & Computer Eng

Discipline

Electrical & Computer Engr

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Keyword(s)

• computer vision
• articulated model
• tracking
• hand gesture

Abstract

Hand gesture recognition has the potential of simplifying human computer interactions. However, the human hand is a highly articulated object, capable of taking on many different appearances. In this work, we consider an analysis by synthesis approach to this difficult tracking problem. We attempt to overcome the vast amount of computation required by implementing the algorithm on commodity GPUs. We also collect a lengthy sequence of hand motions from five cameras in order to train and test our algorithm. We show that to achieve good tracking performance, it is important to understand the way that the hand moves. It is of secondary importance to have a good estimate of the hand shape and to be able to process the frames as quickly as possible. Under heavily controlled circumstances, we are able to achieve full tracking accuracy.

Graduation Semester

2011-12

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http://hdl.handle.net/2142/29829

Copyright and License Information

Copyright 2011 Dennis Lin

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