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ICIP
2009
IEEE
9 years 9 months ago
3D arm movement tracking using adaptive particle filter
In this paper, we present a monocular 3D arm movement tracking system using adaptive particle filter. The effective sample size (ESS) is analyzed in the adaptive particle filter t...
Feng Guo, Gang Qian
TSMC
2008
147views more  TSMC 2008»
9 years 11 months ago
Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation
Recently, much work has been done in multiple ob-4 ject tracking on the one hand and on reference model adaptation5 for a single-object tracker on the other side. In this paper, we...
Franz Pernkopf
UAI
2000
10 years 1 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
NIPS
2001
10 years 1 months ago
KLD-Sampling: Adaptive Particle Filters
Over the last years, particle filters have been applied with great success to a variety of state estimation problems. We present a statistical approach to increasing the efficienc...
Dieter Fox
WSC
2008
10 years 2 months ago
Towards applications of particle filters in wildfire spread simulation
Wildfire propagation is a complex process influenced by many factors. Simulation models of wildfire spread, such as DEVS-FIRE, are important tools for studying fire behavior. This...
Feng Gu, Xiaolin Hu
GLOBECOM
2009
IEEE
10 years 3 months ago
Restarting Particle Filters: An Approach to Improve the Performance of Dynamic Indoor Localization
Particle filters have been found to be effective in tracking mobile targets in indoor environments. One frequently encountered problem in these settings occurs when the target'...
Begumhan Turgut, Richard P. Martin
AVSS
2009
IEEE
10 years 3 months ago
Regressed Importance Sampling on Manifolds for Efficient Object Tracking
In this paper, a new integrated particle filter is proposed for video object tracking. After particles are generated by importance sampling, each particle is regressed on the tran...
Fatih Porikli, Pan Pan
IROS
2006
IEEE
168views Robotics» more  IROS 2006»
10 years 5 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,...
CCECE
2006
IEEE
10 years 5 months ago
Rao-Blackwellised Particle Filters: Examples of Applications
In this work, we present some examples of applications of the so-called Rao-Blackwellised Particle Filter (RBPF). RBPFs are an extension to Particle Filters (PFs) which are applic...
Frédéric Mustière, Miodrag Bo...
ICPR
2006
IEEE
11 years 24 days ago
Object Detection in Video via Particle Filters
We propose an object detection method using particle filters. Our approach estimates the probability of object presence in the current image given the history of observations up t...
Jacek Czyz
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