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ICIP
2007
IEEE
16 years 4 months ago
MAP Particle Selection in Shape-Based Object Tracking
The Bayesian filtering for recursive state estimation and the shape-based matching methods are two of the most commonly used approaches for target tracking. The Multiple Hypothesi...
Alessio Dore, Carlo S. Regazzoni, Mirko Musso
HYBRID
2007
Springer
15 years 9 months ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
IROS
2006
IEEE
168views Robotics» more  IROS 2006»
15 years 9 months ago
An Entropy-Based Measurement of Certainty in Rao-Blackwellized Particle Filter Mapping
– In Bayesian based approaches to mobile robot simultaneous localization and mapping, Rao-Blackwellized particle filters (RBPF) enable the efficient estimation of the posterior b...
Jose-Luis Blanco, Juan-Antonio Fernandez-Madrigal,...
ICPR
2010
IEEE
15 years 5 months ago
Coarse-To-Fine Particle Filter by Implicit Motion Estimation for 3D Head Tracking on Mobile Devices
Due to the widely spread mobile devices over the years, a low cost implementation of an efficient head tracking system is becoming more useful for a wide range of applications. In...
Hacheon Sung, Kwontaeg Choi, Hyeran Byun
DAGM
2008
Springer
15 years 5 months ago
A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry
In particle image velocimetry (PIV) a temporally separated image pair of a gas or liquid seeded with small particles is recorded and analysed in order to measure fluid flows therei...
Florian Becker, Bernhard Wieneke, Jing Yuan, Chris...