Automatic target detection utilizing an edge IR vision transformer (EIR-ViT)

Ethan R. Adams; Arthur C. Depoian II; Aidan G. Kurz; Colleen P. Bailey; Parthasarathy Guturu

doi:10.1117/12.2664122

13 June 2023 Automatic target detection utilizing an edge IR vision transformer (EIR-ViT)

Ethan R. Adams, Arthur C. Depoian II, Aidan G. Kurz, Colleen P. Bailey, Parthasarathy Guturu

Proceedings Volume 12521, Automatic Target Recognition XXXIII; 125210T (2023) https://doi.org/10.1117/12.2664122
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

The detection and recognition of targets within imagery and video analysis is vital for military and commercial applications. The development of infrared sensor devices for tactical aviation systems imagery has increased the performance of target detection. Due to the advancements of infrared sensors capabilities, their use for field operations such as visual operations (visops) or reconnaissance missions that take place in a variety of operational environments have become paramount. Many techniques implemented stretch back to 1970, but were limited due to computational power. The AI industry has recently been able to bridge the gap between traditional signal processing tools and machine learning. Current state of the art target detection and recognition algorithms are too bloated to be applied for on ground or aerial mission reconnaissance. Therefore, this paper proposes Edge IR Vision Transformer (EIR-ViT), a novel algorithm for automatic target detection utilizing infrared images that is lightweight and operates on the edge for easier deployability.

Conference Presentation

Citation Download Citation

Ethan R. Adams, Arthur C. Depoian II, Aidan G. Kurz, Colleen P. Bailey, and Parthasarathy Guturu "Automatic target detection utilizing an edge IR vision transformer (EIR-ViT)", Proc. SPIE 12521, Automatic Target Recognition XXXIII, 125210T (13 June 2023); https://doi.org/10.1117/12.2664122

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