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» Modeling the Constraints of Human Hand Motion
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CVPR
2007
IEEE
14 years 8 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
NIPS
2007
13 years 8 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
CORR
2007
Springer
170views Education» more  CORR 2007»
13 years 6 months ago
Animation of virtual mannequins, robot-like simulation or motion captures
— In order to optimize the costs and time of design of the new products while improving their quality, concurrent engineering is based on the digital model of these products, the...
Damien Chablat
ICPR
2000
IEEE
14 years 7 months ago
Estimation of the Location of Joint Points of Human Body from Successive Volume Data
Recognizing structure of human body is important for modeling human motion. Human body is usually represented as an articulate model, which consists of the rigid parts and the joi...
Masaaki Iiyama, Yoshinari Kameda, Michihiko Minoh
PR
2008
140views more  PR 2008»
13 years 6 months ago
A spatio-temporal 2D-models framework for human pose recovery in monocular sequences
This paper addresses the pose recovery problem of a particular articulated object: the human body. In this model-based approach, the 2D-shape is associated to the corresponding st...
Grégory Rogez, Carlos Orrite-Uruñuel...