Abstract
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas D. Lash, Thomas D. Lash, "Uses of motion imagery in activity-based intelligence", Proc. SPIE 8740, Motion Imagery Technologies, Best Practices, and Workflows for Intelligence, Surveillance, and Reconnaissance (ISR), and Situational Awareness, 874005 (16 May 2013); doi: 10.1117/12.2019084; https://doi.org/10.1117/12.2019084
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