Kitware is developing a software system capable of automatically and interactively discovering actionable intelligence from wide area motion imagery (WAMI) of complex urban, suburban, and rural environments. Within WAMI, the primary information elements are moving entities in the context of roads, buildings, and other scene features. These entities, while exploitable, often yield fragmented tracks in complex urban environments due to occlusions, stops, and other factors. Kitware's software system uses algorithmic solutions to associate tracks and then identify and integrate local events to detect potential threats and perform forensic analysis.
This software system significantly augments an end-user's ability to discover novel intelligence using models of activities, normalcy, and context. Since the vast majority of events are normal and pose no threat, the models must cross-integrate singular events to discover relationships and anomalies that are indicative of suspicious behavior or match previously learned - or defined - threat activity.
The advanced system improves an analyst's ability to handle burgeoning WAMI data and reduces the time required to perform many current exploitation tasks, greatly enhancing the capability to analyze and utilize the data for forensic analysis.
See our IEEE AIPR paper, "Evaluation of Compression Schemes for Wide Area Video," for further information.