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Proceedings Paper

PerSEval phase I: development of a 3D urban terrain model for evaluation of persistent surveillance sensors and video-based tracking algorithms
Author(s): Dawne M. Deaver; Robin Kang; Vinh Tran; David Oxford
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Paper Abstract

PerSEval is a modeling and simulation tool being developed for end-to-end evaluation of airborne persistent surveillance imaging sensor systems. This class of sensor systems is characterized by having a wide coverage area over an extended period of time and operating in either visible or thermal infrared wavebands. Current operational systems are heavily used by image analysts for tracking vehicles or dismounted personnel, with an emphasis in urban areas of interest. Future persistent surveillance systems will include automated ground target tracking algorithms to alleviate analyst workload. As a system evaluation tool, PerSEval will include dependencies on the scenario, platform, sensor, processing, and tracking algorithm. This paper describes the overall PerSEval architecture as well as the first phase of development which focuses on the creation of a three-dimensional urban terrain simulation appropriate for the evaluation of automated tracking algorithms.

Paper Details

Date Published: 30 April 2010
PDF: 12 pages
Proc. SPIE 7705, Modeling and Simulation for Defense Systems and Applications V, 770508 (30 April 2010); doi: 10.1117/12.850421
Show Author Affiliations
Dawne M. Deaver, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Robin Kang, Alion Science and Technology (United States)
Vinh Tran, Alion Science and Technology (United States)
David Oxford, Defence Science and Technology Lab. (United Kingdom)


Published in SPIE Proceedings Vol. 7705:
Modeling and Simulation for Defense Systems and Applications V
Eric J. Kelmelis, Editor(s)

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