An Adaptive Approach To Object Extraction and Tracking In Complex Image Sequences,

Abstract

Based on visual perception principles, this article studies computational models and algorithms associated with the extraction and tracking of moving targets in complex images. It analyzes and tests the effects of changing relevant model parameters on image segmentation thresholds. What is different from certain conventional algorithms is that new methods make an integrated consideration of object background conditions, visual nonlinearities, interframe correlativity and differences into a two step integrated target extraction process including three criteria and a fast optimizing procedure. Object tracking makes use of binary template matching. Experimental results are given for visible light image sequences.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 07, 1996
Accession Number
ADA306424

Entities

People

  • Dai Kerong
  • Peng Jiaxiong
  • Zhang Tianxu

Organizations

  • National Air and Space Intelligence Center

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computer Graphics
  • Computer Vision
  • Digital Images
  • Equations
  • Image Processing
  • Image Segmentation
  • Moving Targets
  • Perception
  • Reliability
  • Sequences
  • Targets
  • Template Patterns
  • Translations
  • Visible Spectra
  • Visual Perception

Readers

  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.
  • Theoretical Analysis.