Pubblicazione scientifica

Information Fusion for Maritime Domain Awareness: Illegal Fishing Detection (Poster)

FILONE TECNOLOGICO	TEMA
economia circolare e sostenibilità

RIASSUNTO

Illegal fishing poses an existential threat to global fisheries and is responsible for causing significant damage and depletion to fish stocks, food security and national economies. We describe a method through our agent-based high-level information fusion system to automate the detection of illegal fishing, thereby providing analysts with real-time indicators, warnings, and a question and answering capability. By automated reasoning over fused human-and sensor-derived sources we demonstrate the capacity to automatically infer candidate cases, which may enable authorities to take action in a timely fashion.

DATA

Data di pubblicazione: 01/04/2019

AUTORI

KERRY TRENTELMAN
REBECCA RAFFERTY
ADAM SAULWICK
AARON CEGLAR

ENTE DI AFFERENZA

DEFENCE SCIENCE & TECH GROUP ADELAIDE AUSTRALIA

RIVISTA

2019 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) (Page(s): 134-139)

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