296 search results - page 49 / 60 » Learning Switching Linear Models of Human Motion |
HAPTICS
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract. This paper describes a preliminary work devoted to the design of a control architecture for a defective haptic interface, i.e. an underactuated haptic interface not able ...
EMMCVPR
2011
Springer
12 years 7 months ago
2011
Springer
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
ICCV
2009
IEEE
15 years 25 days ago
2009
IEEE
In this paper, we present a Deformable Action Template
(DAT) model that is learnable from cluttered real-world
videos with weak supervisions. In our generative model,
an action ...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
This paper presents a novel approach for model-based realtime tracking of highly articulated structures such as humans. This approach is based on an algorithm which efficiently pr...