Kitware introduced a new large-scale video dataset designed to assess the performance of visual event recognition algorithms with a focus on continuous visual event recognition (CVER) for outdoor surveillance. The VIRAT video dataset has 23 event types, 16 scenes, and nearly 30 hours of video with detailed annotations, more than other commonly used dataset. This is publicly available at www.viratdata.org.

Kitware is developing a software system that uses algorithmic solutions to automatically and interactively discover actionable intelligence from wide area motion imagery (WAMI) of complex urban, suburban, and rural environments. The developed algorithms will form the basis of a software prototype called the Persistent Stare Exploitation and Analysis System (PerSEAS) that will significantly augment an end-user's ability to discover novel intelligence using models of activities, normalcy, and context.

Kitware is leading the Phase II of the Video and Image Retrieval and Analysis Tool (VIRAT) program. This Defense Advancecd Research Projects Agency (DARPA) program is designed to is focused on aerial surveillance video taken from Predators and other drones. VIRAT provides video analysis capability that filters and prioritizes massive amounts of archived and streaming video based on events; presents the high-value intelligence content clearly and intuitively to video analysts; and results in substantial reductions in analyst workload while increasing the quality and accuracy of intelligence yield.