Articulated particle filter for hand tracking

Ros, German, Martinez del Rincon, Jesus and Garcia-Mateos, Gines (2012) Articulated particle filter for hand tracking. In: 21st International Conference on Pattern Recognition; 11 - 15 Nov 2012, Tsukuba, Japan.

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Abstract

This paper proposes a new version of Particle Filter, called Articulated Particle Filter ---ArPF---, which has been specifically designed for an efficient sampling of hierarchical spaces, generated by articulated objects. Our approach decomposes the articulated motion into layers for efficiency purposes, making use of a careful modeling of the diffusion noise along with its propagation through the articulations. This produces an increase of accuracy and prevent for divergences. The algorithm is tested on hand tracking due to its complex hierarchical articulated nature. With this purpose, a new dataset generation tool for quantitative evaluation is also presented in this paper.

Item Type: Conference or Workshop Item (Paper)
Event Title: 21st International Conference on Pattern Recognition
Organising Body: International Association for Pattern Recognition
Research Area: Computer science and informatics
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing
Faculty of Science, Engineering and Computing > School of Computing and Information Systems
Depositing User: Automatic Import Agent
Date Deposited: 13 Nov 2012 14:08
Last Modified: 13 Nov 2012 14:08
URI: http://eprints.kingston.ac.uk/id/eprint/23143

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