TETMAN: Three-dimensional Exploitation Techniques for Moving And Non-rigid targets

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,931.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-09-M-1596
Award Id:
93043
Agency Tracking Number:
F083-172-1639
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
4835 University Square, Suite 8, Huntsville, AL, 35816
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
059626395
Principal Investigator:
Blair Barbour
Principal Investigator
(256) 704-3416
blair@photon-x.com
Business Contact:
Blair Barbour
President
(256) 704-3416
blair@photon-x.com
Research Institute:
n/a
Abstract
The Air Force is seeking a means of using multiple types of sensors (EO, IR, RF) on multiple platforms to perform layered sensing of a large region. The sensors will combine their outputs - including feature extraction/data representation - through a shared GIS system. The multi-sensor, co-registered data will result in improved situational awareness. Human dismounts will be the smallest object of interest. Relatedly, the Air Force also seeks an ability to model human (non-rigid) motion. This requires 3D modeling. Furthermore, in the context of the layered sensing scenario above, this 3D human motion modeling implies an ability to detect, recognize/categorize/identify, and track dismounts at some distance. Also, given that at least some of the sensors will be airborne, this implies that the sensor and non-rigid target object both will be moving. The sensor output will feed into the above GIS layered sensing system. In response to these needs, Photon-X, Inc. proposes to research the use of its 3D spatial phase imaging camera to discern humans within a scene, capture human motion, and relay the information to a GIS database for continuous situation awareness. The Photon-X system uses a single video camera to capture a high-resolution 3D image at any range (lens-determined). BENEFIT: If successful, the proposed research would provide the basis for high-resolution tracking of human motion, placed in precise context within a GIS framework. This would greatly enhance situation awareness within the monitored target area. Capabilities for layered sensing and GIS-registered data would offer a significant additional surveillance and intelligence tool for numerous government entities. Furthermore, many of the technologies expected in this SBIR project lend themselves to commercial uses, including: security monitoring for trespassers, group segmentation to differentiate individuals at a security access point, and human motion modeling for various remote control or gaming and entertainment uses.

* information listed above is at the time of submission.

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