Application of the Particle Filter for Simple Gesture Recognition

Authors:
Yang Weon Lee
Affiliations:
Department of Information and Communication Engineering, Honam University, Seobongdong, Gwangsangu, South Korea 506-714
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Year:
2008

Citing 4
Cited 0

CONDENSATION—Conditional Density Propagation forVisual Tracking

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A Probabilistic Framework for Matching Temporal Trajectories: CONDENSATION-Based Recognition of Gestures and Expressions

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Abstract

This paper describes a gesture recognition algorithm based on the particle filters, namely CONDENSATION. The particle filter is more efficient than any other tracking algorithm because the tracking mechanism follows Bayesian estimation rule of conditional probability propagation.