Digital Area Correlation Tracking by Sequential Similarity Detection,

Abstract

Area correlation tracking is an effective method of tracking targets that do not have salient characteristics. This involves detecting a target within a scene by means of its similarity with a stored image of the target. This report presents an evaluation of the performance of a sequential similarity detection algorithm (SSDA) in the task of digital image detection. It is shown that the performance of the SSDA is highly competitive with that of the widely used mathematical correlation method. Both techniques are reviewed and tested on still photographs. An analytical evaluation of the SSDA applied to binary images is presented. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1977
Accession Number
ADA047712

Entities

People

  • C. Munteanu

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Cameras
  • Charge Coupled Devices
  • Computations
  • Correlation Techniques
  • Correlators
  • Data Science
  • Detection
  • Detectors
  • Digital Images
  • Filters
  • Filtration
  • Frequency
  • Integrals
  • Noise Reduction
  • Photographs
  • Photography

Readers

  • Astronomy and Astrophysics.
  • Image Processing and Computer Vision.
  • Systems Analysis and Design