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Heterogeneous information fusion for multitarget tracking using the sum-product algorithm

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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.

URI
http://hdl.handle.net/20.500.12489/787

Report Number
CMRE-PR-2019-047

Source
In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, pp 5471-5475, doi: 10.1109/ICASSP.2019.8683891

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Date
2019/06

Author(s)
Soldi, Giovanni
; 
Gaglione, Domenico
; 
Meyer, Florian
; 
Hlawatsch, Franz
; 
Braca, Paolo
; 
Farina, Alfonso
; 
Win, Moe Z.

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CMRE-PR-2019-047.pdf (2.106Mb)

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