Multi-Sensor Information Integration and Automatic Understanding

Abstract

This document is submitted to ONR as a final report for the Year III effort of the ONR C2CS research carried out by the team of Signal Innovations Group (SIG), Lockheed Martin and NAVAIR (henceforth referred to as the research team) to developed technology to process general video data of interest for base and port security. This research effort has also produced a real-time implementation of the tracking and anomalous behavior detection system that runs on realworld data either using real-time uncompressed video sensors or faster-than-real time on archived video data. Also, a key success of this research effort is that this ONR-funded C2CS effort has transitioned into multiple funded Department of Defense programs to address relevant and challenging applications in airborne persistent surveillance and airborne IED detection.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2008
Accession Number
ADA490674

Entities

People

  • Austin Eliazar
  • Matthew Welborn

Organizations

  • Signal Innovations Group, Inc.

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Application Software
  • Artificial Intelligence Software
  • Compressed Sensing
  • Computational Science
  • Computer Vision
  • Computers
  • Data Sets
  • Department Of Defense
  • Detection
  • Detectors
  • Gaussian Distributions
  • Heuristic Methods
  • High Resolution
  • Operating Systems
  • Probability Distributions
  • Target Recognition

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Distributed Systems and Data Platform Development
  • Research Science/Academic Research