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

Year: 2019
Type: conference-paper
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.
DOI: 10.1109/icassp.2019.8683891
Authors: Giovanni Soldi, Domenico Gaglione, Florian Meyer, Franz Hlawatsch, Paolo Braca, Alfonso Farina, Moe Z. Win
Language: English
Open Access status: green
Awards: G1037014486, Sequential Bayesian Estimation of Arterial Wall Motion, G2791840927, Multiobject Tracking Using Multiple Sensors, Agent Localization and Inference of Dynamic Environments, G8215844777, Random Finite Set Methods for Network-Based Bayesian Estimation
OpenAlex ID: W2939535628
FWCI: 0.489
Cites: 30
Cited by: 10
Related to: 10