Activity-Based Intelligence (ABI) was defined by the Office of the Undersecretary of Defense for Intelligence as “a
discipline of intelligence where the analysis and subsequent collection is focused on activity and transactions associated
with an entity, population, or area of interest.” ABI is inherently multi-INT, and motion imagery is a rich data source for
ABI analysis. Motion imagery provides a unique temporal aspect which is critical for activity detection and
classification. Additionally, motion imagery tends to have high spatial oversampling useful for determining activities
and patterns above the noise threshold.
Proc. SPIE. 8386, Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness
KEYWORDS: Data storage, Clouds, Data archive systems, Distributed computing, Information technology, Intelligence systems, Document management, Computer architecture, Information security, Standards development
Emerging cloud computing platforms offer an ideal opportunity for Intelligence, Surveillance, and Reconnaissance (ISR)
intelligence analysis. Cloud computing platforms help overcome challenges and limitations of traditional ISR
architectures. Modern ISR architectures can benefit from examining commercial cloud applications, especially as they
relate to user experience, usage profiling, and transformational business models. This paper outlines legacy ISR
architectures and their limitations, presents an overview of cloud technologies and their applications to the ISR
intelligence mission, and presents an idealized ISR architecture implemented with cloud computing.
Conference Committee Involvement (1)
Motion Imagery for ISR and Situational Awareness II