Tracking Multiple Unresolved Targets in Noisy, Cluttered Environments

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,988.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
FA9453-12-M-0365
Award Id:
n/a
Agency Tracking Number:
F121-085-1732
Solicitation Year:
2012
Solicitation Topic Code:
AF121-085
Solicitation Number:
2012.1
Small Business Information
1341 South Sunkist Street, Anaheim, CA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
801256199
Principal Investigator:
Curtis Vogel
Senior Scientist
(714) 772-7668
curtis.r.vogel@gmail.com
Business Contact:
Glenn Tyler
President
(714) 772-7668
glenn.a.tyler@tosc.com
Research Institute:
Stub




Abstract
ABSTRACT: This project addresses the difficult computational challenges that arise in space-based infrared object detection and tracking. We propose to implement a particular particle filtering technique which been demonstrated to robustly handle multiple, closely spaced, unresolved targets of varying intensities in high noise environments. This technique will be combined with signal processing methods specifically designed to suppress both stationary and rapidly changing clutter. The proposed technique will be implemented on massively parallel Graphics Processing Units (GPUs) to allow real-time data processing, and they will be evaluated using the Fast Line-of-Sight Imagery for Target and Exhaust Signatures (FLITES) simulation package. BENEFIT: The problem of tracking multiple poorly resolved targets in cluttered environments is extremely important and has a large number of applicationsboth military and civilian. Applications with a very high potential for commercialization include space-based infrared surveillance, surveillance and target tracking for unmanned aerial vehicles (UAVs), and video surveillance for domestic security.

* information listed above is at the time of submission.

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