Paper
29 April 2009 Autonomous buoy platform for low-cost visual maritime surveillance: design and initial deployment
Author Affiliations +
Abstract
We report on the design and evaluation of the initial results of operation of a prototype of an advanced system for maritime security. The system is autonomous and is designed to remain in the ocean for extended periods up to two months. It is based on the Bottom Stationing Ocean Profiler (BSOP), an un-tethered, autonomous platform that stations itself on the sea floor and ascends to the surface at specific time intervals or, potentially, when triggered by certain events such as recognizable acoustic signals, collected and analyzed on board. The surface operations of the system include optical data acquisition, image data analysis, communication with the ground station, and retrieval based functionality. The system is designed to take video and imagery of the surrounding ocean surface and analyze it for the presence of ships, thus, potentially enabling automatic detection and tracking of marine vehicles as they transit in the vicinity of the platform. The system transmits the data to the ground control via bi-directional RF satellite link and can have its mission parameters reprogrammed during the deployment. The described unit is low cost, easy to deploy and recover, and does not reveal itself to the potential targets. The paper describes the system hardware, architecture, algorithms for visual ship detection and tracking.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergiy Fefilatyev, Dmitry B. Goldgof, and Chad Lembke "Autonomous buoy platform for low-cost visual maritime surveillance: design and initial deployment", Proc. SPIE 7317, Ocean Sensing and Monitoring, 73170A (29 April 2009); https://doi.org/10.1117/12.818693
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CITATIONS
Cited by 13 scholarly publications and 2 patents.
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KEYWORDS
Detection and tracking algorithms

Cameras

Ocean optics

Video

Video surveillance

Visualization

Surveillance

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