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ICPR
2004
IEEE
14 years 10 months ago
Semantic Object Segmentation by a Spatio-Temporal MRF Model
In this paper, a region-based spatio-temporal Markov random field (STMRF) model is proposed to segment moving objects semantically. The STMRF model combines segmentation results o...
Wei Zeng, Wen Gao
ICIP
2007
IEEE
14 years 10 months ago
A Multi-Layer MRF Model for Object-Motion Detection in Unregistered Airborne Image-Pairs
In this paper, we give a probabilistic model for automatic change detection on airborne images taken with moving cameras. To ensure robustness, we adopt an unsupervised coarse mat...
Csaba Benedek, Tamas Sziranyi, Zoltan Kato, and Jo...
ICASSP
2010
IEEE
13 years 9 months ago
Visual localization and segmentation based on foreground/background modeling
In this paper, we propose a novel method to localize (or track) a foreground object and segment the foreground object from the surrounding background with occlusions for a moving ...
Hanzi Wang, Tat-Jun Chin, David Suter
CMPB
2002
90views more  CMPB 2002»
13 years 8 months ago
Bivariate linear mixed models using SAS proc MIXED
Bivariate linear mixed models are useful when analyzing longitudinal data of two associated markers. In this paper, we present a bivariate linear mixed model including random effe...
Rodolphe Thiébaut, Hélène Jac...
TSP
2008
103views more  TSP 2008»
13 years 8 months ago
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches
Abstract--We present a versatile framework for tractable computation of approximate variances in large-scale Gaussian Markov random field estimation problems. In addition to its ef...
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin C...