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Proceedings Paper

Real-time target tracking for a 360-degree panoramic IR imager
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Paper Abstract

We introduce a detection and tracking algorithm for panoramic imaging systems intended for operations in high-clutter environments. The algorithm combines correlation- and model-based tracking in a manner that is robust to occluding objects but without the need for a separate collision prediction module. Large data rates associated with the panoramic imager necessitate the use of parallel computation on graphics processing units. We discuss the queuing and tracking algorithms as well as practical considerations required for real-time implementation.

Paper Details

Date Published: 20 June 2014
PDF: 10 pages
Proc. SPIE 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, 909108 (20 June 2014); doi: 10.1117/12.2054219
Show Author Affiliations
C. C. Olson, Sotera Defense Solutions, Inc. (United States)
J. R. Waterman, U.S. Naval Research Lab. (United States)
J. M. Nichols, U.S. Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 9091:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII
Ivan Kadar, Editor(s)

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