Appearance-Guided Particle Filtering for Articulated Hand Tracking
Resource
IEEE International Conference on Computer Vision and Pattern Recognition, CVPR
Journal
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Pages
235-242
Date Issued
2005
Date
2005
Author(s)
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.
Type
conference paper
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Format
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