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» Modeling and Learning Contact Dynamics in Human Motion
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CVPR
2008
IEEE
14 years 10 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
ICRA
2003
IEEE
110views Robotics» more  ICRA 2003»
14 years 1 months ago
Modelling of the human paralysed lower limb under FES
— The new generation of implanted neuroprostheses allows muscles to be controlled with fine accuracy, high selectivity and the repeatability of the muscle’s response can be ach...
David Guiraud, Philippe Poignet, Pierre-Brice Wieb...
ISORC
2000
IEEE
14 years 10 days ago
Architecture, Design Methodology, and Component-Based Tools for a Real-Time Inspection System
We describe a real-time, component-based system for an inspection application. We chose the inspection application and the accompanying task (or scenario) so that we might fully e...
John Albert Horst
ICCV
2007
IEEE
14 years 10 months ago
Optimization and Learning for Registration of Moving Dynamic Textures
We address the problem of registering a sequence of images in a moving dynamic texture video. This involves optimization with respect to camera motion, the average image, and the ...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
14 years 2 months ago
Imitation learning with generalized task descriptions
— In this paper, we present an approach that allows a robot to observe, generalize, and reproduce tasks observed from multiple demonstrations. Motion capture data is recorded in ...
Clemens Eppner, Jürgen Sturm, Maren Bennewitz...