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ICDAR
2003
IEEE
15 years 8 months ago
Shock Filters for Character Image Enhancement and Peeling
In this paper, we propose a generalized shock model for the enhancement and restoration of degraded gray-level character images. This model is a quasi-linear hyperbolic partial di...
Mohamed Cheriet
DEXAW
2010
IEEE
149views Database» more  DEXAW 2010»
15 years 4 months ago
Using Progressive Filtering to Deal with Information Overload
Abstract-- In the age of Web 2.0 people organize large collections of web pages, articles, or emails in hierarchies of topics, or arrange a large body of knowledge in ontologies. T...
Andrea Addis, Giuliano Armano, Eloisa Vargiu
TSP
2008
139views more  TSP 2008»
15 years 3 months ago
Bayesian Filtering With Random Finite Set Observations
This paper presents a novel and mathematically rigorous Bayes recursion for tracking a target that generates multiple measurements with state dependent sensor field of view and clu...
Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni
ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
15 years 27 days ago
A combination of particle filtering and deterministic approaches for multiple kernel tracking
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
Céline Teuliere, Éric Marchand, Laur...
ICCV
2007
IEEE
16 years 5 months ago
Finite-Element Level-Set Curve Particles
Particle filters encode a time-evolving probability density by maintaining a random sample from it. Level sets represent closed curves as zero crossings of functions of two variab...
Tingting Jiang, Carlo Tomasi