학술논문

Stochastic flows – a primer on early multi-object filtering work with point processes
Document Type
Conference
Source
2023 26th International Conference on Information Fusion (FUSION) Information Fusion (FUSION), 2023 26th International Conference on. :1-7 Jun, 2023
Subject
Aerospace
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Stochastic processes
Information filters
Stochastic flow
finite point process
multi-object filtering
probability generating functionals
Language
Abstract
Multi-object filtering is a generalisation of stochastic filtering to deal with an unknown and time-varying number of targets, largely based on modelling with point processes. Some early works on this topic from the Soviet Union from 1960s-l980s appeared prior to well known results in the contemporary liter-ature. This article reviews some of these historical contributions.