350 search results - page 1 / 70 » Motion track: Visualizing variations of human motion data |
APVIS
2010
13 years 6 months ago
2010
This paper proposes a novel visualization approach, which can depict the variations between different human motion data. This is achieved by representing the time dimension of eac...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
NIPS
2000
13 years 6 months ago
2000
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
PCM
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual trackin...
ICPR
2002
IEEE
13 years 9 months ago
2002
IEEE
Estimating mode (walking/running/standing) and phases of human locomotion is important for video understanding. We present a new ”tracking as recognition” approach. A hierarch...