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» Nonparametric Density Estimation for Human Pose Tracking
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ECCV
2010
Springer
15 years 9 months ago
Gaussian-like Spatial Priors for Articulated Tracking
We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but ofte...
161
Voted
ICCV
2009
IEEE
15 years 1 months ago
Structural SVM for visual localization and continuous state estimation
We present an integrated model for visual object localization and continuous state estimation in a discriminative structured prediction framework. While existing discriminative `p...
Catalin Ionescu, Liefeng Bo, Cristian Sminchisescu
AMDO
2008
Springer
15 years 6 months ago
Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture
This paper presents a general analysis framework towards exploiting the underlying hierarchical and scalable structure of an articulated object for pose estimation and tracking. Th...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
150
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ICML
2007
IEEE
16 years 4 months ago
Multifactor Gaussian process models for style-content separation
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
CAIP
2005
Springer
212views Image Analysis» more  CAIP 2005»
15 years 9 months ago
3D Modeling of Humans with Skeletons from Uncalibrated Wide Baseline Views
In order to achieve precise, accurate and reliable tracking of human movement, a 3D human model that is very similar to the subject is essential. In this paper, we present a new sy...
Chee Kwang Quah, André Gagalowicz, Richard ...