Date of Award

12-1992

Document Type

Thesis

Degree Name

Master of Science in Electrical Engineering

Department

Department of Electrical and Computer Engineering

First Advisor

Steven K. Rogers, PhD

Abstract

This paper discusses the use of a correlation based system to track, an object through a series of images based on templates derived from previous image frames. The ability to track is extended to sequences which include multiple objects of interest within the field of view. This is accomplishes by comparing the height and shape of the template autocorrelation to the peaks in the correlation of the template with the next scene. The result is to identify the region in the next scene which best matches the designated target. In addition to correlation plane postprocessing, an adaptive window is used to determine the template size in order to reduce the effects of correlator walk- off. The image sequences used were taken from a Forward Looking Infrared (FLIR) sensor mounted onboard a DC-3 aircraft. The images contain a T-55 tank and both an M-113 and a TAB-71 armored personnel carrier moving in a columnized formation along a dirt road. The goals of this research were to (1) track targets in the presence of other, and sometimes brighter, targets of similar shape; (2) to maintain small tracking errors; and (3) to reduce the effects of correlator walk-off.

AFIT Designator

AFIT-GEO-ENG-92D-07

DTIC Accession Number

ADA259448

Comments

The author's Vita page is omitted.

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