Image-based Tracking and Sensor Resource Allocation for Unmanned Aerial Vehicles

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$749,999.00
Award Year:
2008
Program:
STTR
Phase:
Phase II
Contract:
FA9550-08-C-0038
Agency Tracking Number:
F064-020-0399
Solicitation Year:
2006
Solicitation Topic Code:
AF06-T020
Solicitation Number:
n/a
Small Business Information
TOYON RESEARCH CORP.
6800 Cortona Drive, Goleta, CA, 93117
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
054672662
Principal Investigator:
Mahendra Mallick
Senior Scientist
(805) 968-6787
mmallick@toyon.com
Business Contact:
Marcella Lindbery
Director of Finance and Contracts
(805) 968-6787
mlindbery@toyon.com
Research Institution:
GEORGE MASON UNIV.
Shelby Oros
Office of Sponsored Programs
10517-C Braddock Rd., #2501
Fairfax, VA, 22032
(703) 993-8927
Nonprofit college or university
Abstract
A key objective of our project is to develop advanced algorithms and software to track people and vehicles in an urban environment using video imagery from multiple unmanned aerial vehicles (UAVs). Track continuity of targets of interest (TOI) is an essential requirement. Collaborative UAV trajectory planning and camera pointing to collect continuous observations on one or more TOI by a team of UAVs are required when the line-of-sight of a video camera is occluded by buildings or trees. In the Phase I, we developed advanced feature-aided video tracking algorithms and software using the multiple hypotheses tracking (MHT) approach. We used real video data and developed algorithms and software for realistic video measurement model, geolocation, track initiation, and nonlinear filtering. In Phase I, we processed real UAV video data and obtained preliminary results. In Phase II, we shall process a large number of datasets with single and multiple UAVs. We propose to develop sensor resource management algorithms and software by leveraging on an AFOSR funded project on dynamic UAV trajectory planning and camera pointing to mitigate the occlusion of the camera line-of-sight.

* information listed above is at the time of submission.

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