25 May 2012 Automated FMV SMART camera using dynamically updated LUTs
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Abstract
We present a method for segmenting FMV video streams to dynamically extract scene recognition and change detection information using simple on-the-fly statistics. We show how the video scene can be segmented enabling sub-frame statistical characterization. The features are written into dynamic look-up tables (LUTs) in real-time. Behavior recognition occurs by testing if the newly observed scene statistics have already been recorded in the table. The features in the LUT can later be used to derive predictive behavior Data Models. We demonstrate results of our approach on various types of FMV and micro UAV video data streams.
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Holger Jaenisch, James Handley, "Automated FMV SMART camera using dynamically updated LUTs", Proc. SPIE 8386, Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness, 83860H (25 May 2012); doi: 10.1117/12.914735; https://doi.org/10.1117/12.914735
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