Generalized Labeled Multi-Bernoulli (GLMB) densities arise in a host of multi-object system
applications analogous to Gaussians in single-object filtering. However, computing the …

We propose a general sensor selection (SS) methodology for ocean-of-things (OoT) where a
sensing network performs multiobject tracking (MOT) under resource constraints. SS …

The multi-dimensional assignment problem, and by extension the problem of finding the T-
best (ie, the T most likely) multi-sensor assignments, represent the main challenges of …

The single‐sensor Poisson multi‐Bernoulli (MB) mixture (PMBM) filter has been developed
for multi‐target tracking (MTT). However, there is a lack of research on the multi‐sensor (MS) …

Cell tracking is an essential tool for studying how cells behave and divide under different
conditions. This thesis proposes new approaches to track cells and their lineages using …

The dissertation proposes an online solution for separating an unknown and time-varying
number of moving sources using audio and visual data. The random finite set framework is …