Building Recognition by Function

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$98,884.00
Award Year:
2009
Program:
STTR
Phase:
Phase I
Contract:
W31P4Q-09-C-0051
Award Id:
90031
Agency Tracking Number:
08ST1-0178
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
28 Corporate Drive, Clifton Park, NY, 12065
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Anthony Hoogs
Director of Computer Vision
(518) 371-3971
anthony.hoogs@kitware.com
Business Contact:
Anthony Hoogs
Director of Computer Vision
(518) 371-3971
anthony.hoogs@kitware.com
Research Institution:
UNIV. OF PENNSYLVANIA
Mark West
Moore Business Office
220 S 33rd St., room 280 Towne
Philadelphia, PA, 19104
(215) 898-3150
Nonprofit college or university
Abstract
The activity surrounding a building can provide functional information that is not available in static imagery. We propose to develop a method to classify buildings based on observed video activity that addresses the primary challenges of noisy, partial observables, and urban environments where buildings are close together. Our approach is based on probabilistic modeling of the activity surrounding a building, characterized by functional elements such as building entrances/exits, parking spots and traffic lanes. Activity patterns for each building type are learned over time from buildings with known type. Unknown buildings are classified by comparing their observed activity signatures against those for known building types. The method does not assume reliable tracking, does not rely on building geometry or appearance, and accounts for intermittent temporal coverage and buildings in close proximity. In Phase 1, we will determine which building types can be functionally recognized, and the associated requirements for video sensing such as resolution and extent of temporal coverage. We will also examine the effects of motion extraction accuracy on recognition.

* information listed above is at the time of submission.

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