260 search results - page 9 / 52 » Unsupervised Learning of Human Motion Models |
107
Voted
ICIP
2007
IEEE
15 years 11 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...
118
click to vote
PAMI
2012
13 years 1 days ago
2012
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
ICRA
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
ECCV
2000
Springer
15 years 11 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
ICRA
2005
IEEE
15 years 3 months ago
2005
IEEE
— To realize natural human-robot interactions and investigate the developmental mechanism of human communication, an effective approach is to construct models by which a robot im...