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Proceedings Paper

Detection and behavioural analysis of fast inshore attack craft
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Paper Abstract

The wakes of ships and small surface craft such as fast inshore attack craft (FIAC) can provide crucial intelligence about their behaviour. The development of image processing algorithms to automatically extract this information from surveillance imagery represents a challenging task, but one which can provide great benefits for naval security. This paper reports on research into novel wake detection and analysis techniques to improve the security of naval vessels and harbour environments, and demonstrates the results of novel methods for extracting the positions, heading, size and speed of a vessel from imagery through an analysis of these wake components. The wakes of small surface craft are typically many times larger than the vessel itself and therefore yield a more robust method for detection. Consequently, this detection technique can be successful even when the vessel is unresolved. These methods can be used to track the vessels and examine their paths to determine their behaviour. This is achieved through the use of Waterfall Solutions Ltd's (WS) existing tracking techniques and the development of novel anomaly detection methods. The work demonstrates the ability to extract vessel properties and infer behaviour from their wakes, which is beneficial in determining the vessel's degree of threat and intent.

Paper Details

Date Published: 3 October 2008
PDF: 12 pages
Proc. SPIE 7119, Optics and Photonics for Counterterrorism and Crime Fighting IV, 71190C (3 October 2008); doi: 10.1117/12.801069
Show Author Affiliations
Jeremy Rogers, Waterfall Solutions Ltd. (United Kingdom)
Duncan Hickman, Waterfall Solutions Ltd. (United Kingdom)


Published in SPIE Proceedings Vol. 7119:
Optics and Photonics for Counterterrorism and Crime Fighting IV
Gari Owen, Editor(s)

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