
Proceedings Paper
Bio-inspired method and system for actionable intelligenceFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper describes a bio-inspired VISion based actionable INTelligence system (VISINT) that provides automated
capabilities to (1) understand objects, patterns, events and behaviors in vision data; (2) translate this understanding into
timely recognition of novel and anomalous entities; and (3) discover underlying hierarchies and relationships between
disparate labels entered by multiple users to provide a consistent data representation. VISINT is both a system and a
novel collection of novel bio-inspired algorithms/modules. These modules can be used independently for various aspects
of the actionable intelligence problem or sequenced together for an end-to-end actionable intelligence system. The
algorithms can be useful in many other applications such as scene understanding, behavioral analysis, automatic
surveillance systems, etc. The bio-inspired algorithms are a novel combination of hierarchical spatial and temporal
networks based on the Adaptive Resonance Theory (ART). The novel aspects of this work are that it is an end-to-end
system for actionable intelligence that combines existing and novel implementations of various modules in innovative
ways to develop a system concept for actionable intelligence. Although there are other algorithms/implementations of
several of the modules in VISINT, they suffer from various limitations and often system integration is not considered.
The overall VISINT system can be viewed an incremental learning system where no offline training is required and data
from multiple sources and times can be seamlessly integrated. The user is in the loop, but due to the semi-supervised
nature of the underlying algorithms, only significant variations of entities, not all false alarms, are shown to the user. It
does not forget the past even with new learning. While VISINT is designed as a vision-based system, it could also work
with other kinds of sensor data that can recognize and locate individual objects in the scene. Beyond that stage of object
recognition and localization, all aspects of VISINT are applicable to other kinds of sensor data.
Paper Details
Date Published: 19 May 2009
PDF: 11 pages
Proc. SPIE 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, 73520I (19 May 2009); doi: 10.1117/12.820505
Published in SPIE Proceedings Vol. 7352:
Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing
Stephen Mott; John F. Buford; Gabriel Jakobson, Editor(s)
PDF: 11 pages
Proc. SPIE 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, 73520I (19 May 2009); doi: 10.1117/12.820505
Show Author Affiliations
Deepak Khosla, HRL Labs., LLC (United States)
Suhas E. Chelian, HRL Labs., LLC (United States)
Published in SPIE Proceedings Vol. 7352:
Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing
Stephen Mott; John F. Buford; Gabriel Jakobson, Editor(s)
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