6113 search results - page 259 / 1223 » Learning Features for Tracking |
199
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FGR
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper, we propose an algorithm for sustained tracking of humans, where we combine frame-to-frame articulated motion estimation with a per-frame body detection algorithm. T...
162
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FGR
2008
IEEE
16 years 1 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...
177
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ACCV
2006
Springer
16 years 16 days 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...
155
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ICCV
2005
IEEE
16 years 4 days 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...
173
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SAC
2010
ACM
15 years 11 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...