8 search results - page 1 / 2 » Learning tactic-based motion models with fast particle smoot... |
CIRA
2007
IEEE
14 years 1 months ago
2007
IEEE
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
ICRA
2008
IEEE
14 years 1 months ago
2008
IEEE
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
We propose efficient particle smoothing methods for generalized state-spaces models. Particle smoothing is an expensive O(N2 ) algorithm, where N is the number of particles. We ov...
ICRA
2009
IEEE
14 years 1 months ago
2009
IEEE
— A new approach to the 3D human motion tracking problem is proposed, which combines several particle filters with a physical simulation of a flexible body model. The flexible...
ICIP
2007
IEEE
14 years 8 months ago
2007
IEEE
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...