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https://hdl.handle.net/2142/80894
Description
Title
Visual Hand Tracking and Gesture Analysis
Author(s)
Lin, John
Issue Date
2004
Doctoral Committee Chair(s)
Huang, Thomas S.
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
Abstract
This dissertation presents novel techniques to effectively and efficiently track articulate hand motion in a video sequence. Since tracking articulate hand motion is equivalent to a search in a high-dimensional space, an analysis of the feasible configuration space is given, and semiparametric and nonparametric representations are proposed to model the motion constraint. For each of the representations, a corresponding efficient tracking algorithm is proposed. Experiments have shown the effectiveness of these approaches. To fully automate the tracking system, this dissertation also presents an algorithm for automatic initialization which can be done in real time. Based on this result, several vision-based gesture interfaces are built.
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