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BMVC
2010
14 years 7 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
ICANN
2005
Springer
15 years 3 months ago
Manifold Constrained Variational Mixtures
In many data mining applications, the data manifold is of lower dimension than the dimension of the input space. In this paper, it is proposed to take advantage of this additional ...
Cédric Archambeau, Michel Verleysen
ICPR
2008
IEEE
15 years 4 months ago
Background subtraction technique based on chromaticity and intensity patterns
This paper presents an efficient Real-Time method for detecting moving objects in unconstrained environments, using a background subtraction technique. A new background model that...
Ariel Amato, Mikhail Mozerov, Ivan Huerta Casado, ...
HUMO
2007
Springer
15 years 3 months ago
Robust Spectral 3D-Bodypart Segmentation Along Time
Abstract. In this paper we present a novel tool for body-part segmentation and tracking in the context of multiple camera systems. Our goal is to produce robust motion cues over ti...
Fabio Cuzzolin, Diana Mateus, Edmond Boyer, Radu H...
MICCAI
2009
Springer
15 years 10 months ago
A Riemannian Framework for Orientation Distribution Function Computing
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Functi...
Jian Cheng, Aurobrata Ghosh, Tianzi Jiang, Rachid ...