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CVPR
1999
IEEE
16 years 4 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
CVPR
2000
IEEE
16 years 4 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg
140
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CIARP
2003
Springer
15 years 7 months ago
Multi-channel Reconstruction of Video Sequences from Low-Resolution and Compressed Observations
A framework for recovering high-resolution video sequences from sub-sampled and compressed observations is presented. Compression schemes that describe a video sequence through a c...
Luis D. Alvarez, Rafael Molina, Aggelos K. Katsagg...
CVPR
2004
IEEE
15 years 6 months ago
Motion Without Correspondence from Tomographic Projections by Bayesian Inversion Theory
In conventional tomography, the interior of an object is reconstructed from tomographic projections such as X-ray or electron microscope images. All the current reconstruction met...
Sami S. Brandt, Ville Kolehmainen
IVC
2002
132views more  IVC 2002»
15 years 2 months ago
Structure and motion estimation from apparent contours under circular motion
In this paper we address the problem of recovering structure and motion from the apparent contours of a smooth surface. Fixed image features under circular motion and their relati...
Kwan-Yee Kenneth Wong, Paulo R. S. Mendonça...