Heterogeneous Information Fusion for Multitarget Tracking Using the Sum-product Algorithm

Giovanni Soldi; Domenico Gaglione; Florian Meyer; Franz Hlawatsch; Paolo Braca; Alfonso Farina; Moe Z. Win

ICASSP 2019accepted0 citations

Heterogeneous Information Fusion for Multitarget Tracking Using the Sum-product Algorithm

Giovanni Soldi, Domenico Gaglione, Florian Meyer, Franz Hlawatsch, Paolo Braca, Alfonso Farina, Moe Z. Win

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.

BibTeX

@inproceedings{icassp2019_heterogeneousinf,
  title = {Heterogeneous Information Fusion for Multitarget Tracking Using the Sum-product Algorithm},
  author = {Giovanni Soldi and Domenico Gaglione and Florian Meyer and Franz Hlawatsch and Paolo Braca and Alfonso Farina and Moe Z. Win},
  booktitle = {ICASSP 2019},
  year = {2019}
}