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Moving target tracking using symbolic registration.

I L Ayala¹, D A Orton, J B Larson

¹Rockwell International, Anaheim, CA 92803; Vitro Tec, Grupo Vidrio, Monterey, N. L., Mexico.

IEEE Transactions on Pattern Analysis and Machine Intelligence

|August 27, 2011

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This study introduces a novel moving target tracking (MTT) algorithm for passive sensors. The MTT algorithm analyzes infrared images at a symbolic level for enhanced motion detection and tracking.

Area of Science:

Computer Vision
Signal Processing
Image Analysis

Background:

Traditional moving target indicators often operate at the signal level.
Passive sensor imagery presents unique challenges for motion detection.

Purpose of the Study:

To introduce a novel moving target tracking (MTT) algorithm.
To perform image registration and motion analysis at a symbolic level for passive sensors.

Main Methods:

Developed a moving target tracking (MTT) algorithm.
Implemented image registration and motion analysis on a symbolic level.
Applied the algorithm to infrared image sequences.

Main Results:

Simulation results demonstrate the algorithm's effectiveness.

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The MTT algorithm successfully tracks moving targets using symbolic analysis.

The approach avoids signal-level processing limitations.

Conclusions:

The proposed MTT algorithm offers a new symbolic approach to moving target tracking.
Symbolic-level analysis is a viable alternative for passive sensor image processing.
The algorithm shows promise for infrared image applications.