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Eigen-Similarity Integral (ESI) - A New Concept for Invariant Image Similarity…

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
62658
Program Year/Program:
2003 / STTR
Agency Tracking Number:
F033-0122
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
21st Century Systems, Incorporated
6825 Pine Street, Suite 141 Omaha, NE -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2003
Title: Eigen-Similarity Integral (ESI) - A New Concept for Invariant Image Similarity Detection
Agency / Branch: DOD / USAF
Contract: F49620-03-C-0073
Award Amount: $100,000.00
 

Abstract:

Most of today's precision guided weapons use Global Positioning System (GPS) signals to gain improved accuracy. But, as Operation Iraqi Freedom recently showed, foreign militaries have equipment to locally jam GPS signals. Another effective method ofautonomous navigation is necessary to ensure mission success. Similar to rudimentary terrain recognition used in early cruise missiles, the matching of terrain video images with onboard digitized terrain information can be used to accurately provide aplatform with effective positional awareness. The team of 21st Century Systems, Inc. and the University of Nebraska at Omaha is pleased to address the first step in achieving this worthy goal. Our proposed research focuses on developing a mathematicallysound approach for image similarity detection and extraction. The project is aimed at the development of a methodology that is suitable for various military weapon system applications such as target identification and autonomous navigation of unmannedvehicles. The method is based on the Eigen-similarity of a set of image features. We call this concept the Eigen-Similarity Integral (ESI). The advantages of an ESI-based method for comparing and matching the dominant components of images includecomputation effectiveness, uniqueness, flexibility, and conciseness. The ability to perform a computationally effective comparison of real-time images with images or video from a library is a key enabling technology for many military and commercialactivities. Militarily speaking, this capability could be used for automated target recognition, automated target tracking, and autonomous navigation for unmanned weapon systems. Certainly, a navigation or targeting system based solely on GPS is neitherrobust nor fault-tolerant. An ESI-based navigation system would provide that advantage. An ESI-based software application would accelerate the exploitation of intelligence and UAV camera imagery and ground moving target indicator (GMTI) video. Using theESI-based image discerning capability of GMTI video, contextual map data, and intelligent agents, this application of our research could assist with target recognition, target tracking, and detection through clutter (i.e., trees). Many non-militaryapplications involving video monitoring would benefit strongly from the core concept: facility and physical security, traffic monitoring, and others. Indeed, the Homeland Defense arena could make excellent use of the results of this research.

Principal Investigator:

Plamen V. Petrov
Executive VP Tech
4023849893
plamen@21csi.com

Business Contact:

Lana Stoyen
President
5713230080
lana@21csi.com
Small Business Information at Submission:

21st Century Systems, Inc.
12152 Windsor Hall Way Herndon, VA 20170

EIN/Tax ID: 133893506
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UNIV. OF NEBRASKA AT OMAHA
6001 Dodge Street
Omaha, NE 20170
Contact: Julie Totten
Contact Phone: (402) 554-2286
RI Type: Nonprofit college or university