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» Computability of Models for Sequence Assembly
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ECCV
2000
Springer
16 years 8 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
2010
Springer
15 years 11 months ago
Cascaded Models for Articulated Pose Estimation
Abstract. We address the problem of articulated human pose estimation by learning a coarse-to-fine cascade of pictorial structure models. While the fine-level state-space of pose...
CVPR
2010
IEEE
15 years 4 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang
CVPR
2012
IEEE
13 years 9 months ago
Robust visual tracking using autoregressive hidden Markov Model
Recent studies on visual tracking have shown significant improvement in accuracy by handling the appearance variations of the target object. Whereas most studies present schemes ...
Dong Woo Park, Junseok Kwon, Kyoung Mu Lee
BMCBI
2006
102views more  BMCBI 2006»
15 years 6 months ago
UVPAR: fast detection of functional shifts in duplicate genes
Background: The imprint of natural selection on gene sequences is often difficult to detect. A plethora of methods have been devised to detect genetic changes due to selective pro...
Vicente Arnau, Miguel Gallach, J. Ignasi Lucas, Ig...