SBIR/STTR Research Award

Evaluation of High Performance Computing Enabled Multiple-Target Tracking Based on Massive Parallelism for Urban Surveillance Areas

Award identifier b0918713d6bc6f7b770cf4995bf69087b3a5a5421fed583a7d1af0c02b5811cfAwarding agency Department of Defense · Air Force

Award amount

$721,894

Program and phase

STTR · Phase II

Award year

2015

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
INTELLIGENT FUSION TECHNOLOGY, INC.
Proposal award date
2015-01-27
Contract end date
2017-01-26
UEI
YAJJH8KCTF51
Solicitation number
2013.1
Topic code
AF13-AT10

Research abstract

ABSTRACT: Threat detection of people, vehicles, and others as well as person-vehicle interactions (dismounts) of possible malicious intent are difficult problems due to the complexity of the problem space. The wide area motion imagery (WAMI) systems aid analysts to track and identify dismounts, but typically produce an overwhelmingly large amount of information. The large scale data input challenges existing situational awareness algorithms in time complexity and storage requirements. The lack of computationally efficient moving target indicator (MTI) analysis tools has become a bottleneck for utilizing WAMI data in urban surveillance. The Phase I effort has resulted in high-performance computing solutions to handle the large scale data requirements. We obtained promising results to validate our developed approaches. These preliminary yet promising results obtained in the Phase I study clearly demonstrate that IFTs HPC-MTT, which use the graphics processing unit, multi-core processor, and Hadoop technology, provides innovative and effective on-board and off-board solutions,. Based on the Phase I design and evaluation of our HPC-MTT tool, we believe that it is time to revise, extend, and optimize the Phase I research results using a massively parallel framework with Service-Oriented-Architecture.; BENEFIT: The proposed high-performance-computing (HPC) enabled multiple-target-tracking (MTT) architecture has tremendous potential for many military applications. The proposed tool can be used to reduce latency to improve E2AT. In C4ISR, the proposed technology can also improve efficiency in the systems that help warfighters process information, such as in the counter-insurgency and counter-IED areas. In addition, there are some relevant Defense Acquisition Programs within DoD, such as Distributed Common Ground Station-Navy (DCGS-N), DCGS-X (Air Force), DCGS Army (DCGS-A) system, and AFRL E2AT and PCPADX. Other potential commercial applications include disaster response, environmental research, combating drug trafficking, air-traffic control, law-enforcement, search and rescue operations and anti-terrorist activity.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

98 SBIR/STTR records share this UEI (2011–2025). Reported award amounts total $38,051,933. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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