C 2 Fuse Supporting UAVbased Change Detection and

C 2 Fuse: Supporting UAV-based Change Detection and IED Scene Model Video frame Technical Description: 3 D context DDMCMC Segmentation Real-time Hypothesis Generation High probability Object areas Bayesian Estimation n § Users’ drawings specify events and alarms in context Camera Control § Results to C 2 Display Live C 2 Interface Event recognition Expected Science and Technology Improvements: n Integrated framework for networked real-time video processing integrating higher-levels of scene context than previously possible. n New theoretical improvements in segmentation, fusion, tracking and change detection. n IUGUI can potentially improve any C 2 or C 4 ISR interface, reducing staffing, improving response and allowing operation-specific rules defined by the average war-fighter § § UAV sensor payload surveys route & surroundings. DDMCMC Segmentation provide context analysis. Real-time hypothesis generator detect/track segmented objects and compare to Geo-spatial indexed reference data for change detection. Image Understanding of Graphical User Interfaces (IUGUI) supporting end-user definition of context dependent filtering of events of interest and of non-interest. New approaches to segmentation and detection, combined with novel real-time tracking. Theory already applied to road detection and vehicle tracking. Using data supplied by Nav. Air, China Lake Funding (in K) FY 05 $150 FY 06 $599 FY 07 $584 FY 08 $455 Deliverables • Reports on Theoretical advances supporting design (5/06) • Software Design Document (SDD) & Tech demo (7/07) • System design interface control document (ICD) (10/06) • Integrated System Demo (6/08)