Synthetic scene building for testing thermal signature tracking algorithms

David B. Rhodes; Zoran Ninkov; Judith L. Pipher; Craig W. McMurtry; J. Daniel Newman; Paul P. K. Lee; Gregory J. Gosian; Michael D. Presnar

doi:10.1117/12.860667

12 August 2010 Synthetic scene building for testing thermal signature tracking algorithms

David B. Rhodes, Zoran Ninkov, Judith L. Pipher, Craig W. McMurtry, J. Daniel Newman, Paul P. K. Lee, Gregory J. Gosian, Michael D. Presnar

Author Affiliations +

Proceedings Volume 7813, Remote Sensing System Engineering III; 781309 (2010) https://doi.org/10.1117/12.860667
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

The development and testing of thermal signature tracking algorithms burdens the developer with a method of testing the algorithm's fidelity. Although actual video is normally used for testing tracking algorithms, to evaluate performance in a variety of configurations, the acquisition of suitable video data volume is prohibitive. As an alternative to actual video we are developing accurate synthetic thermal infrared models of vehicles that will be incorporated into background infrared images generated using the Digital Image and Remote Sensing Image Generation (DIRSIG) software package. Motion for the targets within the background scene is generated using the open-source Simulation of Urban MObility (SUMO^TM) software package. ThermoAnalytics' Multi-Service Electro-optic Signature (MuSES^TM) software package is used to model thermal emission from the object of interest. The goal is to accurately incorporate thermal signatures of moving targets into realistic radiometrically calibrated scenes, and to then test and evaluate tracking algorithms using both visible and thermal infrared signatures for improved day and night detection capability. The software packages have been integrated together for a synthetic video

Citation Download Citation

David B. Rhodes, Zoran Ninkov, Judith L. Pipher, Craig W. McMurtry, J. Daniel Newman, Paul P. K. Lee, Gregory J. Gosian, and Michael D. Presnar "Synthetic scene building for testing thermal signature tracking algorithms", Proc. SPIE 7813, Remote Sensing System Engineering III, 781309 (12 August 2010); https://doi.org/10.1117/12.860667

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