EVASE: Extensible Video Analysis of Symbology Events

The goal of this project is to develop, demonstrate, and implement at EAFB the EVASE: “Extensible Video Analysis of Symbology Events” Matlab toolkit. This system is based on the premise that it will learn symbology events during training by an expert operator, and then autonomously detect this symbology in long video sequences, resulting in a list of key events to assist the operator in further analysis. During the Phase I, we developed the EVASE Matlab toolkit which includes a GUI, video preprocessing and noise removal, symbol event detection, symbol recognition, and operator training. Finally, we demonstrated the EVASE toolkit using F-16 HUD video with a focus on symbology from armament, radar, and avionics. During the Phase II we will expand the EVASE Matlab toolkit to include a comprehensive list of events from armaments, radar, and avionics and along with the F-16 include other types of aircraft. Since some this data is classified SECRET the Phase II will make provision for handling and processing data at the SECRET level. The goal of the Phase II is to develop, demonstrate, and install EVASE at AFFTC at EAFB.