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HMT: Human-Machine Tracker

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8656-21-C-0054
Agency Tracking Number: F203-001-0233
Amount: $50,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF203-001
Solicitation Number: 20.3
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2020-12-16
Award End Date (Contract End Date): 2021-03-16
Small Business Information
15400 Calhoun Drive Suite 190
Rockville, MD 20855-2814
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Naresh Cuntoor
 (301) 294-4768
Business Contact
 Mark James
Phone: (301) 294-5221
Research Institution

Weapon operators and analysts use automated systems and prior knowledge to plan and execute missions involving target detection and tracking. When automated systems operate with a high degree of tracking accuracy, they provide immense value to analysts and operators and improve their efficiency. Latest advances in deep learning algorithms and improvements in computational hardware have led to significant improvements in target detection and tracking capabilities. However, human intervention is often required to correct, provide additional information and improve tracking performance. In this effort, we propose to develop a joint human-machine teaming approach for tracking. The tracker will learn from its failures over time and learn to anticipate failures. Tracking accuracy and user intervention time will be used to quantify the performance of the proposed effort.

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

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