A Comparison of Approaches for Tracking in Naval Environments

Abstract

The authors have investigated image analysis methods for tracking moving objects in marine environments. They focused on information-theoretic approaches that compare image regions of interest with the statistical models of the objects to be tracked. They evaluated the tracking performance of mean-shift and block-matching algorithms on videos of waterways. It is challenging to track naval vessels in these videos due to glare from the water surface, up and down movements of vessels, and occlusions. They found that the performance of the mean-shift tracking approach was superior to the performance of the block-matching approach in videos with low contrast between the naval vessels to be tracked and the surrounding water surface, and where the scale and orientation of the vessels changed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 29, 2010
Accession Number
ADA513509

Entities

People

  • Margrit Betke

Organizations

  • Boston University

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Artificial Intelligence
  • Boats
  • Brightness
  • Commercial Fishing
  • Computer Science
  • Department Of Defense
  • Environment
  • Histograms
  • Naval Vessels
  • Orientation (Direction)
  • Ships
  • Unmanned Vehicles
  • Vascular System Injuries
  • Vehicles
  • Waterways

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Maritime Security/Maritime Homeland Security
  • Robotics and Automation.