2108 search results - page 269 / 422 » Tracking in Reinforcement Learning |
125
Voted
FGR
2008
IEEE
15 years 10 months ago
2008
IEEE
A robust VAR-based (vector autoregressive) model is introduced for motion prediction in 3D hand tracking. This dynamic VAR motion model is learned in an online manner. The kinemat...
135
Voted
ACCV
2006
Springer
15 years 9 months ago
2006
Springer
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...
113
Voted
ICCV
2005
IEEE
15 years 9 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...
118
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SAC
2010
ACM
15 years 8 months ago
2010
ACM
We consider the problem of anomaly detection in multiple co-evolving data streams. In this paper, we introduce FRAHST (Fast Rank-Adaptive row-Householder Subspace Tracking). It au...
133
Voted
SSPR
1998
Springer
15 years 7 months ago
1998
Springer
Abstract. A representation of a three-dimensional object is autonomously learned from a sequence of the rotating object. The representation consists of single views in form of grap...