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» Learning Switching Linear Models of Human Motion
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ICCV
2007
IEEE
14 years 9 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic
PAMI
2008
182views more  PAMI 2008»
13 years 7 months ago
Gaussian Process Dynamical Models for Human Motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
BC
1998
94views more  BC 1998»
13 years 7 months ago
Quantization of human motions and learning of accurate movements
This paper presents a mathematical model for the learning of accurate human arm movements. Its main features are that the movement is the superposition of smooth submovements, the ...
Etienne Burdet, Theodore E. Milner
APGV
2010
ACM
247views Visualization» more  APGV 2010»
13 years 11 months ago
Perception of linear and nonlinear motion properties using a FACS validated 3D facial model
In this paper we present the first Facial Action Coding System (FACS) valid model to be based on dynamic 3D scans of human faces for use in graphics and psychological research. T...
Darren Cosker, Eva Krumhuber, Adrian Hilton
ICRA
2006
IEEE
82views Robotics» more  ICRA 2006»
14 years 1 months ago
Behavior Modeling in Man-machine Cooperative System based on Stochastic Switched Dynamics
— This paper presents a new mathematical model for the human behavior called Stochastic Switched Linear Dynamical (SS-LD) model. The SS-LD model can be regarded as a natural exte...
Naoyuki Yamada, Shinkichi Inagaki, Tatsuya Suzuki,...