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5 May 2009 Distributed sensor concepts for perimeter surveillance and vehicle classification
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Abstract
This paper presents a distributed multi-modality sensor network concept for vehicle classification within perimeter of a surveillance system. This perimeter surveillance concept represents a "Virtual RF Fence" consisting of remotely located electro-optic surveillance cameras and a standoff range radar system. The perimeter surveillance system vigilantly monitors the field and each time a vehicle crosses the virtual RF fence it informs the surveillance cameras to actively monitor the activity of vehicles as it passes through the field. This paper describes the methodologies applied for processing the EO imagery data including target vehicle segmentation from background, vehicle shadow elimination, vehicle feature vector generation, and a neural network approach for vehicle classification. A metric is also proposed for evaluation of performance of the vehicle classification technique.
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Tamara Rogers, Amir Shirkhodaie, Atindra K. Mitra, Fred Johnson, Chico Foxx, Sean Young, LaMar Westbrook, Tony Marrs, Tom Lewis, Saleh Zein-Sabatto, Fenghui Yao, Mohan Malkani, Haroun Rababaah, James Leonard, and Cheutaunia Johnson "Distributed sensor concepts for perimeter surveillance and vehicle classification", Proc. SPIE 7305, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VIII, 73050A (5 May 2009); https://doi.org/10.1117/12.817623
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