Real-time buried threat detection and cueing capability in VPEF environment

Bo Ling; Sanjeev Agarwal; Santiago Olivera; Zlatko Vasilkoski; Chung Phan; Chris Geyer

doi:10.1117/12.2177743

14 May 2015 Real-time buried threat detection and cueing capability in VPEF environment

Bo Ling, Sanjeev Agarwal, Santiago Olivera, Zlatko Vasilkoski, Chung Phan, Chris Geyer

Proceedings Volume 9454, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX; 94540P (2015) https://doi.org/10.1117/12.2177743
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

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.

Citation Download Citation

Bo Ling, Sanjeev Agarwal, Santiago Olivera, Zlatko Vasilkoski, Chung Phan, and Chris Geyer "Real-time buried threat detection and cueing capability in VPEF environment", Proc. SPIE 9454, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX, 94540P (14 May 2015); https://doi.org/10.1117/12.2177743

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