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Particle Filter Data Fusion Enhancements for MEMS-IMU/GPS
Micro-Electro-Mechanical-System Particle Filter Data Fusion Extended Kalman Filtering
2013/1/29
This research aims at enhancing the accuracy of navigation systems by integrating GPS and Mi-cro-Electro-Mechanical-System (MEMS) based inertial measurement units (IMU). Because of the conditions re-q...
Design of an Adaptive Particle Filter Based on Variance Reduction Technique
particle filter variance reduction degeneracy
2010/2/23
The main problem of particle filter (PF) in nonlinearstate estimation is the particle degeneracy. Resampling operationsolves degeneracy to some extent, but it results in the problem ofsample impoveris...
Automatic multi-player detection and tracking in broadcast sports video using support vector machine and particle filter
broadcast sports video support vector machine particle filter
2010/12/16
In this paper, a novel multiple objects detection and tracking approach based on support vector machine and particle filter is proposed to track players in broadcast sports video. Compared with previo...
Improving Particle Filter with Support Vector Regression for Efficient Visual Tracking
Improving Particle Filter Vector Regression Efficient Visual Tracking
2010/12/15
Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density of the state evolution...
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Complex Motion Models Multi-model Particle Filter
2010/12/14
Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual tracking community. One remained diffi...
Interacting Multiple Model Particle Filter To Adaptive Visual Tracking
Interacting Multiple Model Particle Filter Adaptive Visual Tracking
2010/12/14
Visual tracking could be formulated as a state estimation problem of target representation based on observations in
image sequences. Approaching visual tracking problem in the Bayesian filter framew...