Paper
30 April 2010 PerSEval phase I: development of a 3D urban terrain model for evaluation of persistent surveillance sensors and video-based tracking algorithms
Dawne M. Deaver, Robin Kang, Vinh Tran, David Oxford
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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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dawne M. Deaver, Robin Kang, Vinh Tran, and David Oxford "PerSEval phase I: development of a 3D urban terrain model for evaluation of persistent surveillance sensors and video-based tracking algorithms", Proc. SPIE 7705, Modeling and Simulation for Defense Systems and Applications V, 770508 (30 April 2010); https://doi.org/10.1117/12.850421
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Cited by 3 scholarly publications.
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KEYWORDS
Sensors

3D modeling

Video

Detection and tracking algorithms

Roads

Video surveillance

Algorithm development

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