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» A Probabilistic Background Model for Tracking
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CVPR
2004
IEEE
16 years 1 months ago
A Rao-Blackwellized Particle Filter for EigenTracking
Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black's influential paper on EigenTracking, they were successfully appl...
Zia Khan, Tucker R. Balch, Frank Dellaert
NIPS
2004
15 years 1 months ago
Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
Tim K. Marks, John R. Hershey, J. Cooper Roddey, J...
BMCBI
2006
121views more  BMCBI 2006»
14 years 12 months ago
Splice site identification using probabilistic parameters and SVM classification
Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...
PAA
2010
14 years 6 months ago
Multiple Condensation filters for road detection and tracking
In this paper, we present a novel and robust road tracking system for vision-based personal navigation. Novelty of the work includes the use of multiple Condensation filters to tra...
Li Bai, Yan Wang, Michael C. Fairhurst
RAS
2002
91views more  RAS 2002»
14 years 11 months ago
Foveated active tracking with redundant 2D motion parameters
This work presents a real-time active vision tracking system based on log-polar image motion estimation with 2D geometric deformation models. We present a very efficient parametri...
Alexandre Bernardino, José Santos-Victor, G...