We review some advances of the particle filtering (PF) algorithm that have been achieved in
the last decade in the context of target tracking, with regard to either a single target or …

Multiple hypothesis tracking addresses difficult multiple target tracking problems by making
association decisions using multiple scans or frames of data. This paper reviews forty years …

Multitarget tracking (MTT) refers to the problem of jointly estimating the number of targets
and their states or trajectories from noisy sensor measurements. MTT has a long history …

In multiobject inference, the multiobject probability density captures the uncertainty in the
number and the states of the objects as well as the statistical dependence between the …

In this research work, SnO2, NiO and SnO2/NiO nanocomposites were synthesized at low
temperature by modified sol–gel method using ultrasonication. Prepared samples were …

This paper considers target detection via dynamic-programming based track-before-detect
(DP-TBD) for radar systems. The clutter is modeled usingenlr G0 distribution, which is …

In this paper we present a general solution for multi-target tracking with superpositional
measurements. Measurements that are functions of the sum of the contributions of the …

This paper presents a new sensor management method for multitarget filtering, that is
designed based on maximizing a measure of confidence in accuracy of the multitarget state …

Information Fusion consists of organizing a set of data for correlation in time, association
over multimodal collections, and estimation in space. There exist many methods for object …

Motivated by networked anti-missile defense applications, a cooperative target assignment
and dwell allocation (CTADA) algorithm is developed for multiple target tracking (MTT) in …