Unification of detection, tracking, and recognition for millimeter wave and infrared sensors

Aaron D. Lanterman; Michael I. Miller; Donald L. Snyder

doi:10.1117/12.216951

18 August 1995 Unification of detection, tracking, and recognition for millimeter wave and infrared sensors

Aaron D. Lanterman, Michael I. Miller, Donald L. Snyder

Proceedings Volume 2562, Radar/Ladar Processing and Applications; (1995) https://doi.org/10.1117/12.216951
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

Our pattern theoretic approach to the automated understanding of complex scenes brings the traditionally separate endeavors of detection, tracking, and recongition together into a unified jump-diffusion process. Concentrating on an air-to-ground scenario, we postulate data likelihood models for a low-resolution, wide field-of-view millimeter wave radar (for detection) and a high-resolution, narrow field-of-view forward-looking infrared sensor (for recognition). The interaction between the sensors is governed by a jump-diffusion process which provides a mathematical foundation for saccadic detection and computationally efficient target hypothesis during recognition. New objects are detected and object types are recognition through discrete jump moves. Between jumps, the location and orientation of objects are estimated via continuous diffusions. The methodology outlined may be applied to any scenario involving the fusion of low-resolution and high-resolution sensor data.

Citation Download Citation

Aaron D. Lanterman, Michael I. Miller, and Donald L. Snyder "Unification of detection, tracking, and recognition for millimeter wave and infrared sensors", Proc. SPIE 2562, Radar/Ladar Processing and Applications, (18 August 1995); https://doi.org/10.1117/12.216951

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