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HUC
2004
Springer
15 years 2 months ago
Particle Filters for Location Estimation in Ubiquitous Computing: A Case Study
Location estimation is an important part of many ubiquitous computing systems. Particle filters are simulation-based probabilistic approximations which the robotics community has ...
Jeffrey Hightower, Gaetano Borriello
VMV
2008
116views Visualization» more  VMV 2008»
14 years 11 months ago
A GPU-accelerated particle filter with pixel-level likelihood
We present in this paper a GPU-accelerated particle filter based on pixel-level segmentation and matching, for real-time object tracking. The proposed method achieves real-time pe...
Claus Lenz, Giorgio Panin, Alois Knoll
ICPR
2008
IEEE
15 years 3 months ago
Modulation-domain particle filter for template tracking
Particle filters provide a robust framework for nonlinear and non-Gaussian estimation problems. In this paper, we present a method to incorporate dominant modulation-domain (Ampl...
R. Senthil Prakash, Rangarajan Aravind
ICPR
2008
IEEE
15 years 3 months ago
Tracking human body by using particle filter Gaussian process Markov-switching model
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
Jing Wang, Hong Man, Yafeng Yin
ICASSP
2011
IEEE
14 years 1 months ago
Distributed Gaussian particle filtering using likelihood consensus
We propose a distributed implementation of the Gaussian particle filter (GPF) for use in a wireless sensor network. Each sensor runs a local GPF that computes a global state esti...
Ondrej Hlinka, Ondrej Sluciak, Franz Hlawatsch, Pe...