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Proceedings Paper

Wide-threat detection: recognition of adversarial missions and activity patterns in Empire Challenge 2009
Author(s): Georgiy Levchuk; Charlotte Shabarekh; Caitlin Furjanic
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Paper Abstract

In this paper, we present results of adversarial activity recognition using data collected in the Empire Challenge (EC 09) exercise. The EC09 experiment provided an opportunity to evaluate our probabilistic spatiotemporal mission recognition algorithms using the data from live air-born and ground sensors. Using ambiguous and noisy data about locations of entities and motion events on the ground, the algorithms inferred the types and locations of OPFOR activities, including reconnaissance, cache runs, IED emplacements, logistics, and planning meetings. In this paper, we present detailed summary of the validation study and recognition accuracy results. Our algorithms were able to detect locations and types of over 75% of hostile activities in EC09 while producing 25% false alarms.

Paper Details

Date Published: 19 May 2011
PDF: 13 pages
Proc. SPIE 8059, Evolutionary and Bio-Inspired Computation: Theory and Applications V, 80590F (19 May 2011); doi: 10.1117/12.886435
Show Author Affiliations
Georgiy Levchuk, Aptima Inc. (United States)
Charlotte Shabarekh, Aptima Inc. (United States)
Caitlin Furjanic, Aptima Inc. (United States)


Published in SPIE Proceedings Vol. 8059:
Evolutionary and Bio-Inspired Computation: Theory and Applications V
Misty Blowers; Teresa H. O'Donnell; Olga Lisvet Mendoza-Schrock, Editor(s)

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