DGICat_Heterogeneous Information Fusion for Multitarget Tracking Using the Sum-product Algorithm
Name
ICASSP2019_V15.pdf
Description
Accepted version
Size
3.24 MB
Format
Adobe PDF
Checksum (MD5)
33c69b81599a0016ab6ee5c771b52583
Author(s)
Win, Moe Z.
Date Issued
May 2019
Journal
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Soldi, Giovanni et al. “DGICat_Heterogeneous Information Fusion for Multitarget Tracking Using the Sum-product Algorithm.” Paper presented at the ICASSP 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Brighton, United Kingdom, 12-17 May 2019): INSPEC Accession Number: 18777798 © 2019 The Author(s)
Version
Author's final manuscript
Abstract
The sum-product algorithm (SPA) was recently shown to provide a scalable methodology for multitarget tracking (MTT) using multiple sensors. Here, we focus on another advantage of the SPA frame-work, namely, its capacity for Bayesian fusion of heterogeneous data sources and auxiliary information. We develop extensions of the SPA-based multisensor MTT algorithm that integrate data from an auxiliary surveillance system and geographic information about standard target routes. The effectiveness of our approach is demonstrated for a simulated scenario and for a real maritime scenario.
MIT Department
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICASSP.2019.8683891
