Prototyping for Dragon Eye Program

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2017
Accession Number
AD1087758

Entities

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Cyber

DTIC Thesaurus Topics

  • Artifacts
  • Autonomous Systems
  • Copyrights
  • Department Of Defense
  • Engineering
  • Governments
  • Guarantees
  • Intelligence Analysts
  • Materials
  • Naval Warfare
  • Software Design
  • Software Development
  • Systems Engineering
  • Universities
  • User Interface

Readers

  • Computer Vision.
  • Cybersecurity.
  • Strategic Security Studies

Technology Areas

  • Autonomy
  • Autonomy - UAVs