Context exploitation in intelligence, surveillance, and reconnaissance for detection and tracking algorithms

Jonathan D. Tucker; S. Robert Stanfill

doi:10.1117/12.2180938

21 May 2015 Context exploitation in intelligence, surveillance, and reconnaissance for detection and tracking algorithms

Jonathan D. Tucker, S. Robert Stanfill

Author Affiliations +

Proceedings Volume 9473, Geospatial Informatics, Fusion, and Motion Video Analytics V; 94730L (2015) https://doi.org/10.1117/12.2180938
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

Intelligence, Surveillance, and Reconnaissance (ISR) missions involve complex analysis of sensor data that can benefit from the exploitation of geographically aligned context. In this paper we discuss our approach to utilizing geo-registered imagery and context for the purpose of aiding ISR detection and tracking applications. Specifically this includes rendering context masks on imagery, increasing the speed at which detection algorithms process data, providing a way to intelligently control detection density for given ground areas, identifying difficult traffic terrain, refining peak suppression for congested areas, reducing target center of mass location errors, and increasing track coverage and duration through track prediction error robustness.

Citation Download Citation

Jonathan D. Tucker and S. Robert Stanfill "Context exploitation in intelligence, surveillance, and reconnaissance for detection and tracking algorithms", Proc. SPIE 9473, Geospatial Informatics, Fusion, and Motion Video Analytics V, 94730L (21 May 2015); https://doi.org/10.1117/12.2180938

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