7891 search results - page 1160 / 1579 » A Distributed Scheduling Framework |
204
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ICCV
2007
IEEE
16 years 9 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
207
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
202
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ECCV
1996
Springer
16 years 8 months ago
1996
Springer
We present a novel technique for the automatic adaptation of a deformable model's elastic parameters within a Kalman filter framework for shape estimation applications. The no...
186
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ICIP
2008
IEEE
16 years 8 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
224
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ICIP
2007
IEEE
16 years 8 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...