Prototyping for Dragon Eye Program
Carnegie-Mellon University, Software Engineering Institute Pittsburgh United States
Pagination or Media Count:
The U.S. and its allies increasingly rely on surveillance video from mobile assets such as Unmanned Autonomous Systems UASs to determine when objects and events of interest occur in a surveilled location. Video data from a variety of U.S. Department of Defense DoD platforms is proliferating in the modern battlespace, and expanded dissemination of this video makes it widely available for use. The detection of artifacts of interest in streaming surveillance video is manually intensive. As the volume of video data from continues to increase, automated video summarization that highlights artifacts of interest is needed.
- Military Intelligence
- Active and Passive Radar Detection and Equipment