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Novelty Methods for General Online Object Deep (GOOD) tracking

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: 140D0422C0043
Agency Tracking Number: D2S-0038
Amount: $1,962,135.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF17A-T027
Solicitation Number: 17.A
Timeline
Solicitation Year: 2017
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-09-26
Award End Date (Contract End Date): 2023-09-25
Small Business Information
1712 Route 9 Suite 300
Clifton Park, NY 12065-3104
United States
DUNS: 010926207
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Christopher Funk
 (518) 881-4933
 christopher.funk@kitware.com
Business Contact
 Denise Hale
Phone: (518) 836-2178
Email: denise.hale@kitware.com
Research Institution
N/A
Abstract

Novelty is a major issue in intelligence, surveillance, and reconnaissance (ISR) missions since most SoTA algorithms assume a closed set of finite object categories and will not adapt to novel environments. For high-value target (HVT) tracking, the current algorithms assume every object we intend to track is within the finite object categories and will either misclassify or ignore objects within novel categories. Novelty Methods for GOOD will apply novelty detection, characterization, and accommodation algorithms into the GOOD system developed in the previous Phase II. These functions will extend the GOOD system to account for new object types or something novel about the environment. This unique opportunity allows us to prove the domain independence of the approach by applying it to high-value tracking and other domains for potential commercialization. Our novelty approach is theoretically based on Extreme Value Theory (EVT), which models the known distribution based on the extrema of what is known, has minimal assumptions, and is domain-independent. The Novelty Methods for GOOD will add the EVT-based approach to the GOOD system, demonstrate the domain independence of the approach, and provide real-world examples on the effectiveness of this approach. The system will be delivered with unlimited rights to the government.

* Information listed above is at the time of submission. *

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