Automatic Threat Recognition Algorithm for Volumetric CT Data

Award Information
Agency:
Department of Homeland Security
Branch
n/a
Amount:
$149,911.19
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
HSHQDC-12-C-00076
Agency Tracking Number:
DHS SBIR-2012.2-H-SB012.2-002-0001-I
Solicitation Year:
2012
Solicitation Topic Code:
H-SB012.2-002
Solicitation Number:
n/a
Small Business Information
TeleSecurity Sciences
7391 Prairie Falcon Rd, Suite 150-B, Las Vegas, NV, 89128-0186
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
621380620
Principal Investigator:
Samuel Song
smsong@telesecuritysciences.com
Business Contact:
Douglas Boyd
doug@telesecuritysciences.com
Research Institution:
n/a
Abstract
This Phase I proposal describes the development of an Automatic Threat Recognition (ATR) algorithm for volumetric CT data. Our ATR algorithm consists of four stages: (1) preprocessing of CT data, (2) object segmentation of preprocessed CT data, (3) post-processing of segmentation results, and (4) explosive detection from the segmented objects. The ATR algorithm will be made computationally efficient by GPGPU programming in order to meet desired throughput of the screening process. The performance of the ATR algorithm will be thoroughly analyzed via extensive experiments with CT dataset of typical checked bags with ground truth. Since a preliminary segmentation algorithm is already built, Phase I begins from TRL 3 and concludes with experiments and comprehensive quantitative performance analysis (TRL 4). A DICOS-compliant ATR algorithm and standard CT test datasets for reliable quantification of explosive detection performance is expected at the end of Phase II.

* information listed above is at the time of submission.

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