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» Learning Articulated Structure and Motion
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ROMAN
2007
IEEE
127views Robotics» more  ROMAN 2007»
14 years 2 months ago
Incremental on-line hierarchical clustering of whole body motion patterns
Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
SIGGRAPH
2010
ACM
14 years 6 days ago
Spatial relationship preserving character motion adaptation
This paper presents a new method for editing and retargeting motions that involve close interactions between body parts of single or multiple articulated characters, such as danci...
Edmond S. L. Ho, Taku Komura, Chiew-Lan Tai
CVPR
2009
IEEE
3130views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Motion Capture Using Joint Skeleton Tracking and Surface Estimation
This paper proposes a method for capturing the performance of a human or an animal from a multi-view video sequence. Given an articulated template model and silhouettes from a m...
Juergen Gall (BIWI, ETH Zurich), Carsten Stoll (Ma...
CVPR
2007
IEEE
14 years 9 months ago
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
Liang Wang, David Suter
IJRR
2007
171views more  IJRR 2007»
13 years 7 months ago
Creating High-quality Paths for Motion Planning
Many algorithms have been proposed that create a path for a robot in an environment with obstacles. Most methods are aimed at finding a solution. However, for many applications, ...
Roland Geraerts, Mark H. Overmars