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ECCV
2000
Springer
14 years 9 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
ECCV
2006
Springer
13 years 11 months ago
Nonparametric Estimation of Multiple Structures with Outliers
Common problem encountered in the analysis of dynamic scene is the problem of simultaneous estimation of the number of models and their parameters. This problem becomes difficult a...
Wei Zhang, Jana Kosecká
FS
2010
140views more  FS 2010»
13 years 6 months ago
Nonparametric estimation for a stochastic volatility model
Abstract Consider discrete time observations (X δ)1≤ ≤n+1 of the process X satisfying dXt = √ VtdBt, with Vt a one-dimensional positive diffusion process independent of the...
F. Comte, V. Genon-Catalot, Yves Rozenholc
ICCV
2005
IEEE
14 years 9 months ago
Non-Parametric Self-Calibration
In this paper we develop a theory of non-parametric self-calibration. Recently, schemes have been devised for non-parametric laboratory calibration, but not for selfcalibration. W...
David Nistér, Henrik Stewénius, Etie...
ICCV
2009
IEEE
15 years 13 days ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...