Measurement-based neural net multitarget tracker

Mark Yee

doi:10.1117/12.2321767

1 October 1990 Measurement-based neural net multitarget tracker

Mark Yee

Proceedings Volume 1305, Signal and Data Processing of Small Targets 1990; (1990) https://doi.org/10.1117/12.2321767
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

A neural network solution to the data association problem in multitarget tracking is presented. This requires position and velocity measurements of the targets over two consecutive time frames. A quadratic neural energy function results that is suitable for an optical processing implementation. Realistic target trajectories are simulated, yielding several different scenarios with spurious measurements (clutter) and measurement noise, which are used to test the tracking ability of the neural network. Simulation results are presented, and an overall tracking system using the neural net, Kalman filters, and a Hough transform subsystem is discussed.

Citation Download Citation

Mark Yee "Measurement-based neural net multitarget tracker", Proc. SPIE 1305, Signal and Data Processing of Small Targets 1990, (1 October 1990); https://doi.org/10.1117/12.2321767

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available