Results 51 to 60 of about 6,182,412 (149)

Track-Before-Detect Algorithm Based on Improved Auxiliary Particle PHD Filter under Clutter Background

open access: yesLeida xuebao, 2019
Under the clutter background condition, the existing particle filter pre-detection tracking algorithm based on Probability Hypothesis Density (PHD) filtering is not accurate enough to estimate the number of targets in dense multi-objectives.
PEI Jiazheng   +4 more
doaj   +1 more source

Multi-Target Joint Detection; Tracking and Classification Based on Marginal GLMB Filter and Belief Function Theory

open access: yesSensors, 2020
This paper proposes a new solution to multi-target joint detection, tracking and classification based on labeled random finite set (RFS) and belief function theory. A class dependent multi-model marginal generalized labeled multi-Bernoulli (MGLMB) filter
Jun Liang   +3 more
doaj   +1 more source

On the New Notion of the Set-Expectation for a Random Set of Events [PDF]

open access: yes
The paper introduces new notion for the set-valued mean set of a random set. The means are defined as families of sets that minimize mean distances to the random set.
Vorobyev, Oleg Yu., Vorobyev, Alexey O.
core  

Random Finite Set Methods for Multitarget Tracking [PDF]

open access: yes, 2013
Multiple target tracking (MTT) is a major area that occurs in a variety of real world systems. The problem involves the detection and estimation of an unknown number of targets within a scenario space given a sequence of noisy, incomplete measurements ...
Dunne, Darcy
core  

A random set and prototype theory interpretation of intuitionistic fuzzy sets [PDF]

open access: yes, 2010
An interpretation of intuitionistic fuzzy sets is proposed based on random set theory and prototype theory. The extension of fuzzy labels are modelled by lower and upper random set neighbourhoods, identifying those element of the universe within an ...
Lawry, Jonathan, Jonathan Lawry
core   +1 more source

Multi-Target Joint Detection and Estimation Error Bound for the Sensor with Clutter and Missed Detection

open access: yesSensors, 2016
The error bound is a typical measure of the limiting performance of all filters for the given sensor measurement setting. This is of practical importance in guiding the design and management of sensors to improve target tracking performance.
Feng Lian   +3 more
doaj   +1 more source

A quantitative assessment of random field models in finite element buckling analyses of composite cylinders [PDF]

open access: yes, 2012
Large scatter characterizes the collapse load of thin-walled structures due to their imperfection sensitivity. Random fields can be used to include imperfections in a finite element model.
Degenhardt, Richard   +4 more
core  

A bayesian formulation for multi-bernoulli random finite sets in multi-target tracking

open access: yes, 2012
The multi-Bernoulli random finite set (MB-RFS) filter is a recent model for efficiently performing multi-target tracking in video by representing the state as a multi-modal distribution, incorporating data association and target detection into the model ...
Yasmin Roulston (23333566)   +1 more
core   +2 more sources

Shape optimization for quadratic functionals and states with random right-hand sides [PDF]

open access: yes, 2015
International audienceIn this work, we investigate a particular class of shape optimization problems under uncertainties on the input parameters. More precisely, we are interested in the minimization of the expectation of a quadratic objective in a ...
Dambrine, Marc   +2 more
core   +1 more source

Multi-Sensor Multi-Target Tracking Using Probability Hypothesis Density Filter

open access: yesIEEE Access, 2019
Compared with the single sensor tracking system, the multi-sensor tracking system has several advantages in target tracking, such as a larger field of view and higher tracking accuracy.
Long Liu   +3 more
doaj   +1 more source

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