Electro-Optic (EO) Feature-Based Target Combat Identification (CID)

Electro-Optic (EO) Feature-Based Target Combat Identification (CID)
Navy SBIR FY2005.2

Sol No.:	Navy SBIR FY2005.2
Topic No.:	N05-111
Topic Title:	Electro-Optic (EO) Feature-Based Target Combat Identification (CID)
Proposal No.:	N052-111-0538
Firm:	SET Associates Corporation 3811 N. Fairfax Drive Suite 350 Arlington, Virginia 22203
Contact:	Rama Chellappa
Phone:	(301) 220-2123
Web Site:	www.setassociates.com
Abstract:	We propose to design, develop and evaluate a deterministic approach to combat identification (CID) of stationary and moving objects using a single video stream. From a video containing a moving target, we detect and track the target using an appearance-based tracker. Stationary targets in the video are extracted using a shape-driven operator. Using fingerprints extracted from the segmented target chip and synthesized views of targets generated from a homgraphy derived from the given video sequence, quasi-invariants and a generalized Hausdorff metric, we design a target CID algorithm. A special case of our algorithm handles the target CID problem for stationary targets. Using the results of target segmentation, we will develop an efficient compression scheme for transmitting the target chip over noisy channels. During Phase I, we will assess the potential performance of a stationary and motion-based video CID capability by integrating a suite of algorithms for the tasks mentioned above. The resulting working software prototype will help us to identify challenges to be addressed during Phase II. During Phase II, we will demonstrate and evaluate a prototype system capable of robust verification/identification in video imagery. Our goal is to sue as few a frames as possible in determining CID.
Benefits:	The design of feature-based target combat identification (CID) systems using existing EO sensor data collected from airborne platforms is of critical importance to the U.S. military. The results of proposed research will benefit homeland security, monitoring of traffic, border control and law enforcement.

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