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ICPR
2008
IEEE
15 years 11 months ago
Object localization using affine invariant substructure constraints
In this paper we propose a novel method for generic object localization. The method is based on modeling the object as a graph at two levels: a local substructural representation ...
Ahmed M. Elgammal, Ishani Chakraborty
ICPR
2008
IEEE
15 years 11 months ago
Review and evaluation of commonly-implemented background subtraction algorithms
Locating moving objects in a video sequence is the first step of many computer vision applications. Among the various motion-detection techniques, background subtraction methods a...
Bruno Emile, Christophe Rosenberger, Hél&eg...
MICCAI
2009
Springer
15 years 10 months ago
Building Shape Models from Lousy Data
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
Marcel Lüthi, Thomas Albrecht, Thomas Vetter
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ICPR
2006
IEEE
15 years 10 months ago
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Bo Wu, Gérard G. Medioni, Isaac Cohen, Qian...
MICCAI
2007
Springer
15 years 10 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...