Distributed sensor concepts for perimeter surveillance and vehicle classification

Autor: Thomas L. Lewis, Atindra K. Mitra, Fred Johnson, Tony Marrs, Lamar Westbrook, Chico Foxx, Saleh Zein-Sabatto, Sean Young, Cheutaunia Johnson, Amir Shirkhodaie, Mohan Malkani, Haroun Rababaah, Tamara Rogers, Fenghui Yao, James D. Leonard
Rok vydání: 2009
Předmět:
Zdroj: SPIE Proceedings.
ISSN: 0277-786X
DOI: 10.1117/12.817623
Popis: 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.
Databáze: OpenAIRE