Multiple object tracking using particle filters [PDF]
The particle filtering technique with multiple cues such as colour, texture and edges as observation features is a powerful technique for tracking deformable objects in image sequences with complex backgrounds.
Canagarajah, N. +3 more
core +5 more sources
Mobility Tracking in Cellular Networks Using Particle Filtering. [PDF]
Mobility tracking based on data from wireless cellular networks is a key challenge that has been recently investigated both from a theoretical and practical point of view.
Mihaylova, L +14 more
core +5 more sources
Parallelized particle filtering for freeway traffic state tracking [PDF]
We consider parallelized particle filters for state tracking (estimation) of freeway traffic networks. Particle filters can accurately solve the state estimation problem for general nonlinear systems with non-Gaussian noises.
Lendek, Z. +3 more
core +4 more sources
A convolution particle filtering approach for tracking elliptical extended objects [PDF]
This paper proposes a convolution particle filtering approach for extended object tracking. Convolution particle filters (CPFs) are likelihood free filters. They are based on convolution kernel probability density representation.
Gning, Amadou +3 more
core +4 more sources
On the Performance of the Box Particle Filter for Extended Object Tracking Using Laser Data [PDF]
This paper considers the challenging task of real time extended object tracking using cluttered measurements from laser range scanners. The performance of the recently proposed Box Particle Filter (Box PF) algorithm is evaluated utilising real ...
Gning, Amadou +6 more
core +5 more sources
Intercomparisons of Tracker v1.1 and four other ocean particle-tracking software packages in the Regional Ocean Modeling System [PDF]
Particle tracking is widely utilized to study transport features in a range of physical, chemical, and biological processes in oceanography. In this study, a new offline particle-tracking package, Tracker v1.1, is introduced, and its performance is ...
J. Xiong, P. MacCready
doaj +1 more source
Gravity optimised particle filter for hand tracking [PDF]
This paper presents a gravity optimised particle filter (GOPF) where the magnitude of the gravitational force for every particle is proportional to its weight. GOPF attracts nearby particles and replicates new particles as if moving the particles towards
Tjahjadi, Tardi +4 more
core +1 more source
Combined data association and evolving particle filter for tracking of multiple articulated objects. [PDF]
This paper proposes an approach for tracking multiple articulated targets using a combined data association and evolving population particle filter. A visual target is represented as a pictorial structure using a collection of parts together with a model
Mihaylova, Lyudmila +7 more
core +4 more sources
Given that the tracking accuracy and real-time performance of the particle filter (PF) target tracking algorithm are greatly affected by the number of sampled particles, a PF target tracking algorithm based on particle number optimization under the ...
Lieping Zhang +5 more
doaj +1 more source
3D moving target tracking with measurement fusion of TDoA/FDoA/AoA
In this paper, we investigate the tracking of the 3D moving target when multiple measurements are available. We propose a particle filter-based 3D target tracking algorithm with measurement of time difference of arrival (TDoA), frequency difference of ...
Hyeondeog Seo +5 more
doaj +1 more source

