Appearance-Guided Particle Filtering for Articulated Hand Tracking

Authors:
Wen-Yan Chang;Chu-Song Chen;Yi-Ping Hung
Affiliations:
Academia Sinica and National Taiwan University;Academia Sinica;Academia Sinica and National Taiwan University
Venue:
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Year:
2005

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Abstract

We propose a model-based tracking method, called appearance-guided particle filtering (AGPF), which integrates both sequential motion transition information and appearance information. A probability propagation model is derived from a Bayesian formulation for this framework, and a sequential Monte Carlo method is introduced for its realization. We apply the proposed method to articulated hand tracking, and show that it performs better than methods that only use either sequential motion transition information or only use appearance information.