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CVPR
2007
IEEE
14 years 7 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
IJCV
2010
152views more  IJCV 2010»
13 years 3 months ago
Learning Articulated Structure and Motion
Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to learn the st...
David A. Ross, Daniel Tarlow, Richard S. Zemel
ICMCS
2006
IEEE
106views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Scalability in Human Shape Analysis
This paper proposes a new approach for the human motion analysis. The main contribution comes from the proposed representation of the human body. Most of already existing systems ...
Thomas Fourès, Philippe Joly
ECCV
2004
Springer
14 years 6 months ago
A Closed-Form Solution to Non-rigid Shape and Motion Recovery
Recovery of three dimensional (3D) shape and motion of non-static scenes from a monocular video sequence is important for applications like robot navigation and human computer inte...
Jing Xiao, Jinxiang Chai, Takeo Kanade
SIGGRAPH
1997
ACM
13 years 9 months ago
Adapting simulated behaviors for new characters
This paper describes an algorithm for automatically adapting existing simulated behaviors to new characters. Animating a new character is difficult because a control system tuned...
Jessica K. Hodgins, Nancy S. Pollard