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Proceedings Paper

Precise positioning surveillance in 3-D using night-vision stereoscopic photogrammetry
Author(s): Jason M. Schwartz
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Paper Abstract

A 3-D imaging technique is presented which pairs high-resolution night-vision cameras with GPS to increase the capabilities of passive imaging surveillance. Camera models and GPS are used to derive a registered point cloud from multiple night-vision images. These point clouds are used to generate 3-D scene models and extract real-world positions of mission critical objects. Analysis shows accuracies rivaling laser scanning even in near-total darkness. The technique has been tested on stereoscopic 3-D video collections as well. Because this technique does not rely on active laser emissions it is more portable, less complex, less costly, and less detectable than laser scanning. This study investigates close-range photogrammetry under night-vision lighting conditions using practical use-case examples of terrain modeling, covert facility surveillance, and stand-off facial recognition. The examples serve as the context for discussion of a standard processing workflow. Results include completed, geo-referenced 3-D models, assessments of related accuracy and precision, and a discussion of future activities.

Paper Details

Date Published: 1 June 2011
PDF: 13 pages
Proc. SPIE 8042, Display Technologies and Applications for Defense, Security, and Avionics V; and Enhanced and Synthetic Vision 2011, 80420A (1 June 2011); doi: 10.1117/12.884597
Show Author Affiliations
Jason M. Schwartz, Follow-Me Systems, LLC (United States)


Published in SPIE Proceedings Vol. 8042:
Display Technologies and Applications for Defense, Security, and Avionics V; and Enhanced and Synthetic Vision 2011
John Tudor Thomas; Daniel D. Desjardins; Jeff J. Güell; Kenneth L. Bernier, Editor(s)

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