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CAEPIA
2003
Springer
14 years 21 days 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
ICIP
2005
IEEE
14 years 9 months ago
Visual tracking using sequential importance sampling with a state partition technique
Sequential importance sampling (SIS), also known as particle filtering, has drawn increasing attention recently due to its superior performance in nonlinear and non-Gaussian dynam...
Yan Zhai, Mark B. Yeary, Joseph P. Havlicek, Jean-...
ICC
2007
IEEE
131views Communications» more  ICC 2007»
14 years 1 months ago
Experimental Deployment of Particle Filters in WiFi Networks
— Location tracking in wireless networks has many applications, including enhanced network performance. In this work we investigate the experimental use of “particle filter”...
Zawar Shah, Robert A. Malaney, Xun Wei, Keith Tai
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
14 years 2 months ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
ICASSP
2007
IEEE
14 years 1 months ago
Particle PHD Filtering for Multi-Target Visual Tracking
We propose a multi-target tracking algorithm based on the Probability Hypothesis Density (PHD) filter and data association using graph matching. The PHD filter is used to compen...
Emilio Maggio, Elisa Piccardo, Carlo S. Regazzoni,...