Results 101 to 110 of about 1,309 (169)
Multisensor Multitarget Mixture Reduction Algorithms for Tracking
A single-sensor single-target Mixture Reduction (MR) data association algorithm is extended for use in multisensor multitarget tracking situations. MR is extended for tracking an arbitrary number of targets using an arbitrary number of sensors under the ...
Lucy Y. Pao
core
B-Spline Based Multitarget Tracking [PDF]
Multitarget tracking in the presence of false alarm is a difficult problem to consider. The objective of multitarget tracking is to estimate the number of targets and their states recursively from available observations. At any given time, targets can be
Sithiravel, Rajiv
core
Nonlinear Filtering Algorithms for Multitarget Tracking
Tracking multiple targets with uncertain target dynamics is a difficult problem, especially with nonlinear state and/or measurement equations. Random finite set theory provides a rigorous foundation to multitarget tracking problems.
Punithakumar, K
core
To realize multitarget trajectory tracking under non-Gaussian heavy-tailed noise, we propose a Gaussian–Student t-mixture distribution-based trajectory cardinality probability hypothesis density filter (GSTM-TCPHD).
Shaoming Wei +6 more
doaj +1 more source
State estimation by IMM filter in the presence of structural uncertainty [PDF]
A solution to the state estimation problem under structural uncertainty (unknown or changeable dimension of the system state space) is given by the Interacting Multiple Model (IMM) filter.
Ludmila Mihaylova, Mihaylova, L.
core
Improved YOLOX-DeepSORT for Multitarget Detection and Tracking of Automated Port RTG
Rubber tire gantry (RTG) plays a pivotal role in facilitating efficient container handling within port operations. Conventional RTG, highly depending on human operations, is inefficient, labor-intensive, and also poses safety issues in adverse ...
ZHENGTAO YU +3 more
doaj +1 more source
The Multitarget/Multisensor Tracking Problem
This report briefly reproduces the derivation of this formulation. No attempt is made to solve the multitarget/multisensor tracking and multisensor data fusion problems here.
Huub De Waard, Er Toet, Alexander Toet
core
Enhancement of Data Separability in Multisensor-Multitarget Tracking Problems
In many current tracking problems, the tracking scenario may involve multiple targets whose states are to be estimated with observations from several sensors.
Balakrishnan, S. N. +2 more
core +1 more source
Feature-Aided Multitarget Tracking for Optical Belt Sorters
8 S.Industrial optical belt sorters are highly versatile in sorting bulk material or food, especially if mechanical properties are not sufficient for an adequate sorting quality.
Noack, Benjamin +5 more
core
Random Finite Set Methods for Multitarget Tracking [PDF]
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

