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Proceedings Paper

Real-time buried threat detection and cueing capability in VPEF environment
Author(s): Bo Ling; Sanjeev Agarwal; Santiago Olivera; Zlatko Vasilkoski; Chung Phan; Chris Geyer
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Paper Abstract

In this paper, we present a vehicular buried threat detection approach developed over the past several years, and its latest implementation and integration in VPEF environment. Buried threats have varying signatures under different operation environment. To reliably detect the true targets and minimizing the number of false alarms, a suite of false alarm mitigators (FAMs) have been developed to process the potential targets identified by the baseline module. A vehicle track can be formed over a number of frames and targets are further analyzed both spatially and temporally. Algorithms have been implemented in C/C++ as GStreamer plugins and are suitable for vehicle mounted, on-the-move realtime exploitation.

Paper Details

Date Published: 14 May 2015
PDF: 14 pages
Proc. SPIE 9454, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX, 94540P (14 May 2015); doi: 10.1117/12.2177743
Show Author Affiliations
Bo Ling, Migma Systems, Inc. (United States)
Sanjeev Agarwal, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Santiago Olivera, Migma Systems, Inc. (United States)
Zlatko Vasilkoski, Migma Systems, Inc. (United States)
Chung Phan, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Chris Geyer, EOIR Technologies (United States)


Published in SPIE Proceedings Vol. 9454:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX
Steven S. Bishop; Jason C. Isaacs, Editor(s)

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