DocumentCode :
497758
Title :
Fused EO/IR detection & tracking of surface targets: Flight demonstrations
Author :
Waxman, Allen ; Fay, David ; Ilardi, Paul ; Arambel, Pablo ; Shen, Xinzhuo ; Krant, John ; Moore, Timothy ; Gorin, Brian ; Tilden, Scott ; Baron, Bruce ; Lobowiecki, James ; Jelavic, Robert ; Verbiar, Cliff ; Antoniades, John ; Baumback, Mark ; Hass, Dani
Author_Institution :
BAE Syst., Burlington, MA, USA
fYear :
2009
fDate :
6-9 July 2009
Firstpage :
1439
Lastpage :
1443
Abstract :
At Fusion 2007 we presented real-time methods for fused video imaging, detection and tracking of multiple ground targets, and showed results of tower-based ground tests. This paper summarizes the use of these methods in proof of concept flight tests, undertaken as a collaborative effort among several business units of BAE Systems North America. Utilizing a Sonoma commercial RGB/MWIR 4-band turret mounted on a King Air 90, we integrated our existing image co/geo-registration methods with the image fusion, target learning & detection, multi-target tracking, and sensor/turret resource management methods reported previously, implemented them on real-time commercial processors, and conducted two test flights over water and land. We illustrate results of these flight tests that demonstrate proof of concept capabilities, showing examples of air-to-surface detection and tracking of multiple vessels over an extended field of regard, ground vehicles (both stationary and moving), and multiple dismounts walking on a beach. The approach does not require stabilization of the background in order to detect moving targets because detection is all spectral-based. Targets can be detected as spectral anomalies with respect to an adaptive local background, and then learned on-the-fly as a target class. Alternatively, targets can be designated by an operator and learned in real-time. This approach applies to both day & night fused video imaging over land & water, and can be extended to include other imaging sensors such as SWIR & LWIR, and coupled with hyperspectral fingerprinting for feature-aided tracking.
Keywords :
image fusion; image motion analysis; image registration; image sensors; target tracking; video signal processing; BAE Systems North America; King Air 90; LWIR; SWIR; Sonoma commercial RGB/MWIR 4-band turret; adaptive local background; air-to-surface detection; feature-aided tracking; flight demonstrations; fused video imaging; hyperspectral fingerprinting; image co/geo-registration methods; image fusion; multiple ground targets; multiple vessels tracking; multitarget tracking; real-time commercial processors; sensor/turret resource management methods; spectral anomalies; surface targets; target detection; target learning; tower-based ground tests; Collaboration; Gas detectors; Hyperspectral imaging; Hyperspectral sensors; Image sensors; Infrared detectors; Optical imaging; Sensor fusion; System testing; Target tracking; Video tracking; image fusion; multi-target tracking; neural networks; sensor resource management; target detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2009. FUSION '09. 12th International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-0-9824-4380-4
Type :
conf
Filename :
5203852
Link To Document :
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