3 papers
eess.SP2025
Efficient Implementation of Multi-sensor Adaptive Birth Samplers for Labeled Random Finite Set Tracking
Jennifer Bondarchuk, Anthony Trezza, Donald J. Bucci
Adaptive track initiation remains a crucial component of many modern multi-target tracking systems. For labeled random finite sets multi-object filters, prior work has been establi…
eess.SP2023
Deterministic Multi-sensor Measurement-adaptive Birth using Labeled Random Finite Sets
Jennifer Bondarchuk, Anthony Trezza, Donald J. Bucci
Measurement-adaptive track initiation remains a critical design requirement of many practical multi-target tracking systems. For labeled random finite sets multi-object filters, pr…
eess.SY2023
On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking
Anthony Trezza, Donald J. Bucci, Pramod K. Varshney
Gibbs sampling is one of the most popular Markov chain Monte Carlo algorithms because of its simplicity, scalability, and wide applicability within many fields of statistics, scien…