Processing of Large Wide Area Airborne Sensor (WAAS) Data Streams in Hardware

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,961.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
N00014-12-M-0291
Agency Tracking Number:
N121-084-0090
Solicitation Year:
2012
Solicitation Topic Code:
N121-084
Solicitation Number:
2012.1
Small Business Information
ObjectVideo
11600 Sunrise Valley Drive, Suite # 290, Reston, VA, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
038732173
Principal Investigator:
Donald Madden
Principal Investigator
(703) 654-9300
dmadden@objectvideo.com
Business Contact:
Paul Brewer
VP, New Technology
(703) 725-3084
pbrewer@objectvideo.com
Research Institution:
Stub




Abstract
ObjectVideo and Brown University propose a heterogeneous FPGA and programmable multi-core DSP solution to perform full-frame target tracking and event detection on motion imagery from Wide Area Aerial Sensors. The OV team will leverage its experience in WAAS video processing and low-power hardware design in order to provide excellent tracking and event detection performance while meeting the size, weight, and power goals appropriate for inclusion on small unmanned aircraft systems. The team has developed local feature-based target detection and tracking algorithms that operate on a significantly reduced space of interest points. These exploitation algorithms scale to larger frame sizes better than conventional techniques and have proven effective on aerial imagery. The team will evaluate these algorithms for execution on FPGA and DSP hardware, and formulate a scalable model for power, area, performance and precision which can guide the hardware implementation. This solution utilizes technologies and methodologies the OV team developed under DARPA funding to support the ARGUS-IS and IR projects; these technologies can be adapted for this effort with minimal risk.

* information listed above is at the time of submission.

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