Sciweavers

48 search results - page 2 / 10
» Target Model Estimation using Particle Filters for Visual Se...
Sort
View
JCP
2008
161views more  JCP 2008»
13 years 5 months ago
Interacting Multiple Model Particle-type Filtering Approaches to Ground Target Tracking
Ground maneuvering target tracking is a class of nonlinear and/or no-Gaussian filtering problem. A new interacting multiple model unscented particle filter (IMMUPF) is presented to...
Ronghua Guo, Zheng Qin, Xiangnan Li, Junliang Chen
ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
13 years 3 months 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...
AROBOTS
2007
153views more  AROBOTS 2007»
13 years 4 months ago
An integrated particle filter and potential field method applied to cooperative multi-robot target tracking
We describe a novel method whereby a particle filter is used to create a potential field for robot control without prior clustering. We show an application of this technique to ...
Roozbeh Mottaghi, Richard T. Vaughan
ICIP
2006
IEEE
14 years 7 months ago
An adaptive mixture color model for robust visual tracking
Global color characterization is a very powerful tool to model in a simple yet discriminant way the visual appearance of complex objects. A fixed reference model of this type can ...
Antoine Lehuger, Patrick Léchat, Patrick P&...
CAEPIA
2003
Springer
13 years 10 months ago
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
Alvaro Soto