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ICCV
2007
IEEE
13 years 7 months ago
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
Bohyung Han, Seong-Wook Joo, Larry S. Davis
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach
CCECE
2006
IEEE
13 years 11 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...
TCSV
2008
115views more  TCSV 2008»
13 years 5 months ago
Dynamic Proposal Variance and Optimal Particle Allocation in Particle Filtering for Video Tracking
Abstract--This paper presents a novel particle allocation approach to particle filtering which minimizes the total tracking distortion for a fixed number of particles over a video ...
Pan Pan, Dan Schonfeld
ICCV
2007
IEEE
14 years 7 months ago
Finite-Element Level-Set Curve Particles
Particle filters encode a time-evolving probability density by maintaining a random sample from it. Level sets represent closed curves as zero crossings of functions of two variab...
Tingting Jiang, Carlo Tomasi