Tracking Using Peer-to-Peer Smart Infrared Cameras

Abstract

This project has two complementary goals: to develop new methods for video tracking using multiple, physically distributed cameras without relying on centralized servers; and to develop new algorithms for tracking using infrared images. We must develop target models for infrared that are robust to changes in target orientation, illumination, and environmental conditions. In general, the best results are obtained by fusing data: fusion of multiple channels, such as visible and infrared; and fusion of estimates from the physically distributed nodes in the system. We are particularly interested in physically separated cameras- -practical systems will not always have a visible camera and an infrared camera paired at every node.

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Document Details

Document Type
Technical Report
Publication Date
Nov 05, 2008
Accession Number
ADA503307

Entities

People

  • Wayne Wolf

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Networks
  • Cameras
  • Computer Vision
  • Department Of Defense
  • Detection
  • Detectors
  • Engineering
  • Image Processing
  • Infrared Cameras
  • Infrared Detectors
  • Infrared Images
  • Mathematics
  • Monte Carlo Method
  • Orientation (Direction)
  • Students
  • Three Dimensional

Readers

  • Computer Networking
  • Distributed Systems and Data Platform Development
  • Sensor Fusion and Tracking Systems.