Kingston University
Kingston University
Other publications by Jean-Christophe Nebel

Generalized Laplacian Eigenmaps for Modeling and Tracking Human Motions

J. Martinez del Rincon, M. Lewandowski, J.-C. Nebel and D. Makris

IEEE Transactions on Cybernetics
44(9): 1646-1660, 2014
[PDF]

Abstract
This paper presents generalized Laplacian eigenmaps, a novel dimensionality reduction approach designed to address stylistic variations in time series. It generates compact and coherent continuous spaces whose geometry is data-driven. This paper also introduces graph-based particle filter, a novel methodology conceived for efficient tracking in low dimensional space derived from a spectral dimensionality reduction method. Its strengths are a propagation scheme, which facilitates the prediction in time and style, and a noise model coherent with the manifold, which prevents divergence, and increases robustness. Experiments show that a combination of both techniques achieves state-of-the-art performance for human pose tracking in underconstrained scenarios.

Cited by ( Google Scholar: 20, ISI Web of Knowledge: 13 & SCOPUS: 12 ): 22

2024

2023 2022 2021 2020 2019 2017 2016 2015


j.nebel@kingston.ac.uk