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Proceedings Paper

A multispectral automatic target recognition application for maritime surveillance, search, and rescue
Author(s): Jon Schoonmaker; Scott Reed; Yuliya Podobna; Jose Vazquez; Cynthia Boucher
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Paper Abstract

Due to increased security concerns, the commitment to monitor and maintain security in the maritime environment is increasingly a priority. A country's coast is the most vulnerable area for the incursion of illegal immigrants, terrorists and contraband. This work illustrates the ability of a low-cost, light-weight, multi-spectral, multi-channel imaging system to handle the environment and see under difficult marine conditions. The system and its implemented detecting and tracking technologies should be organic to the maritime homeland security community for search and rescue, fisheries, defense, and law enforcement. It is tailored for airborne and ship based platforms to detect, track and monitor suspected objects (such as semi-submerged targets like marine mammals, vessels in distress, and drug smugglers). In this system, automated detection and tracking technology is used to detect, classify and localize potential threats or objects of interest within the imagery provided by the multi-spectral system. These algorithms process the sensor data in real time, thereby providing immediate feedback when features of interest have been detected. A supervised detection system based on Haar features and Cascade Classifiers is presented and results are provided on real data. The system is shown to be extendable and reusable for a variety of different applications.

Paper Details

Date Published: 5 May 2010
PDF: 11 pages
Proc. SPIE 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX, 76661V (5 May 2010); doi: 10.1117/12.852651
Show Author Affiliations
Jon Schoonmaker, Advanced Coherent Technologies LLC (United States)
Scott Reed, SeeByte Ltd. (United Kingdom)
Yuliya Podobna, Advanced Coherent Technologies LLC (United States)
Jose Vazquez, SeeByte Ltd. (United Kingdom)
Cynthia Boucher, Advanced Coherent Technologies LLC (United States)

Published in SPIE Proceedings Vol. 7666:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX
Edward M. Carapezza, Editor(s)

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