Framework for Real-Time, Multi-Camera Feature\\Recognition, Dissemination, Selection, and Visualization

Award Information
Department of Defense
Award Year:
Phase I
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Barron Associates, Inc.
1410 Sachem Place, Suite 202, Charlottesville, VA, -
Hubzone Owned:
Minority Owned:
Woman Owned:
Principal Investigator:
Michael DeVore
Sr. Research Scientist
(434) 973-1215
Business Contact:
Connie Hoover
General Manager
(434) 973-1215
Research Institution:

ABSTRACT: Barron Associates, Inc. proposes to develop a foundational capability for unifying distributed heterogeneous surveillance data sources, producing and delivering highly refined results contextualized across the entire battlespace in real time. This project will result in a framework that supports information extraction, tagging, dissemination, discovery, and operator notification from multiple cameras in real-time. It will include an operator interface that allows analysts to maintain an awareness of the data streams that are available, their geographic relationships, a general picture of the information contained in those streams, and an ability to''drill down''through multiple levels of detail. Additionally, it will allow analysts to formulate and issue ad hoc queries against the entire spectrum of available information, and to request and receive notification when needed data become available or when events of interest occur. The framework will be designed around an open service oriented architecture to support technology from multiple vendors, and it will be extensible to ensure support for both existing and future data streams. BENEFIT: The US military has been tremendously successful in its efforts to develop and deploy remote sensing capabilities and has the ability to provide around-the-clock coverage of large geographical regions from multiple perspectives and over large portions of the electromagnetic spectrum. These efforts have been so successful that analysts are faced with a deluge of sensor and other data so voluminous that they cannot make use of it all. The proposed effort will develop a software framework that allows analysts to quickly identify and assimilate the most important information from these massive amounts of data. This will allow a faster and more complete operational picture to develop and result in higher confidence reporting from analysts to their customers. This in turn will lead to increased shared situational awareness and, ultimately, increased mission effectiveness. Technology developed through this project is expected to be valuable to Air Force operations and in numerous other contexts, including other military services, civilian and military intelligence agencies, law enforcement, and private security firms.

* information listed above is at the time of submission.

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