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Automatic Threat Recognition Algorithm for Volumetric CT Data

Award Information

Agency:
Department of Homeland Security
Branch:
N/A
Award ID:
Program Year/Program:
2012 / SBIR
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
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: Automatic Threat Recognition Algorithm for Volumetric CT Data
Agency: DHS
Contract: HSHQDC-12-C-00076
Award Amount: $149,911.19
 

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.

Principal Investigator:

Samuel M. Song
smsong@telesecuritysciences.com

Business Contact:

Douglas P. Boyd
doug@telesecuritysciences.com
Small Business Information at Submission:

TeleSecurity Sciences
7391 Prairie Falcon Rd, Suite 150-B Las Vegas, NV 89128-0186

EIN/Tax ID: 204228742
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No