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Proceedings Paper

Near real-time, on-the-move software PED using VPEF
Author(s): Kevin Green; Chris Geyer; Chris Burnette; Sanjeev Agarwal; Bruce Swett; Chung Phan; Diane Deterline
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Paper Abstract

The scope of the Micro-Cloud for Operational, Vehicle-Based EO-IR Reconnaissance System (MOVERS) development effort, managed by the Night Vision and Electronic Sensors Directorate (NVESD), is to develop, integrate, and demonstrate new sensor technologies and algorithms that improve improvised device/mine detection using efficient and effective exploitation and fusion of sensor data and target cues from existing and future Route Clearance Package (RCP) sensor systems. Unfortunately, the majority of forward looking Full Motion Video (FMV) and computer vision processing, exploitation, and dissemination (PED) algorithms are often developed using proprietary, incompatible software. This makes the insertion of new algorithms difficult due to the lack of standardized processing chains. In order to overcome these limitations, EOIR developed the Government off-the-shelf (GOTS) Video Processing and Exploitation Framework (VPEF) to be able to provide standardized interfaces (e.g., input/output video formats, sensor metadata, and detected objects) for exploitation software and to rapidly integrate and test computer vision algorithms. EOIR developed a vehicle-based computing framework within the MOVERS and integrated it with VPEF. VPEF was further enhanced for automated processing, detection, and publishing of detections in near real-time, thus improving the efficiency and effectiveness of RCP sensor systems.

Paper Details

Date Published: 14 May 2015
PDF: 12 pages
Proc. SPIE 9454, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX, 94540O (14 May 2015); doi: 10.1117/12.2177750
Show Author Affiliations
Kevin Green, EOIR Technologies (United States)
Chris Geyer, EOIR Technologies (United States)
Chris Burnette, EOIR Technologies (United States)
Sanjeev Agarwal, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Bruce Swett, EOIR Technologies (United States)
Chung Phan, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Diane Deterline, 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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