Complex scenes and situations visualization in hierarchical learning algorithm with dynamic 3D NeoAxis engine

James Graham; Igor V. Ternovskiy

doi:10.1117/12.2018833

20 June 2013 Complex scenes and situations visualization in hierarchical learning algorithm with dynamic 3D NeoAxis engine

James Graham, Igor V. Ternovskiy

Author Affiliations +

Proceedings Volume 8757, Cyber Sensing 2013; 87570J (2013) https://doi.org/10.1117/12.2018833
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

We applied a two stage unsupervised hierarchical learning system to model complex dynamic surveillance and cyber space monitoring systems using a non-commercial version of the NeoAxis visualization software. The hierarchical scene learning and recognition approach is based on hierarchical expectation maximization, and was linked to a 3D graphics engine for validation of learning and classification results and understanding the human – autonomous system relationship. Scene recognition is performed by taking synthetically generated data and feeding it to a dynamic logic algorithm. The algorithm performs hierarchical recognition of the scene by first examining the features of the objects to determine which objects are present, and then determines the scene based on the objects present. This paper presents a framework within which low level data linked to higher-level visualization can provide support to a human operator and be evaluated in a detailed and systematic way.

Citation Download Citation

James Graham and Igor V. Ternovskiy "Complex scenes and situations visualization in hierarchical learning algorithm with dynamic 3D NeoAxis engine", Proc. SPIE 8757, Cyber Sensing 2013, 87570J (20 June 2013); https://doi.org/10.1117/12.2018833

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