Paper
4 May 2012 Development of radiometrically accurate synthetic thermal infrared video for tracking algorithm evaluation
David B. Rhodes, Zoran Ninkov, J. Daniel Newman, Paul P. K. Lee, Gregory J. Gosian
Author Affiliations +
Abstract
The development and testing of thermal signature tracking algorithms burdens the developer with a method o f testing the algorith m's fidelity. Collected video is normally used for testing tracking algorithms to evaluate performance in a variety of configurations. Acquiring suitable volumes of collected video data in multiple configurations can be prohibitive. As an alternative to collected video, the development of accurate synthetic thermal infrared vehicle models are incorporated into background infrared scenes generated using the Digital Image and Remote Sensing Image Generat ion (DIRSIG) software package. Additional software models for thermally emissive targets and motion are being implemented. The goals are to accurately incorporate thermal signatures of moving targets into realistic radiomet rically calibrated scenes. This aids in evaluating tracking algorithms using both visible and thermal infrared signatures for improved day and night detection capability. The software packages are integrated together to produce synthetic video.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David B. Rhodes, Zoran Ninkov, J. Daniel Newman, Paul P. K. Lee, and Gregory J. Gosian "Development of radiometrically accurate synthetic thermal infrared video for tracking algorithm evaluation", Proc. SPIE 8403, Modeling and Simulation for Defense Systems and Applications VII, 840306 (4 May 2012); https://doi.org/10.1117/12.919296
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Video

Detection and tracking algorithms

Thermography

Video surveillance

Algorithm development

Cameras

Thermal modeling

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