DocumentCode :
118827
Title :
Mobile ISR: Intelligent ISR management and exploitation for the expeditionary warfighter
Author :
Madden, D. ; Choe, T. ; Deng, H. ; Gunda, K. ; Gupta, H. ; Ramanathan, N. ; Rasheed, Z. ; Shayne, E. ; Hakeem, A.
Author_Institution :
ObjectVideo, Inc., Reston, VA, USA
fYear :
2014
fDate :
14-16 Oct. 2014
Firstpage :
1
Lastpage :
11
Abstract :
Modern warfighters are informed by an expanding variety of Intelligence, Surveillance and Reconnaissance (ISR) sources, but the timely exploitation of this data poses a significant challenge. ObjectVideo ("OV") presents a system, Mobile ISR to facilitate ISR knowledge discovery for expeditionary warfighters. The aim is to collect, manage, and deliver time-critical information when and where it is needed most. The Mobile ISR system consumes video, still imagery, and target metadata from airborne, ground-based, and hand-held sensors, and indexes that data based on content using state-of-the-art video analytics and user tagging. The data is stored in a geospatial database and disseminated to warfighters according to their mission context and current activity. The warfighters use an Android mobile application to view this data in the context of an interactive map or augmented reality display, and to capture their own imagery and video. A complex event processing engine enables powerful queries to the knowledge base. The system leverages the extended DoD Discovery Metadata Specification (DDMS) card format, with extensions to include representation of entities, activities, and relationships.
Keywords :
Android (operating system); data mining; meta data; military communication; military computing; mobile computing; Android mobile application; DDMS card format; DoD discovery metadata specification; ISR knowledge discovery; expeditionary warfighter; geospatial database; intelligence, surveillance and reconnaissance sources; intelligent ISR management; mobile ISR; state-of-the-art video analytics; user tagging; Androids; Engines; Geospatial analysis; Humanoid robots; Mobile communication; Target tracking; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery Pattern Recognition Workshop (AIPR), 2014 IEEE
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/AIPR.2014.7041918
Filename :
7041918
Link To Document :
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