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Spatio-Temporal Association and Curve Kernel Networks (STACKNet) for Multi-cue Data Association

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0860-21-C-7137
Agency Tracking Number: B2-3065
Amount: $1,499,999.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: MDA19-T001
Solicitation Number: 19.C
Solicitation Year: 2019
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-06-11
Award End Date (Contract End Date): 2023-06-10
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
 Bridget Kennedy
 (240) 599-5655
Business Contact
 Mark James
Phone: (301) 294-5221
Research Institution
 University of Kentucky
 Nathan Jacobs
329 Rose Street
Lexington, KY 40506-0633
United States

 (859) 257-5254
 Nonprofit College or University

Target tracking involves several steps including detection, filtering and data association. In the proposed effort we propose to develop deep learning based technologies for data association to improve the overall tracking accuracy. Deep learning has shown significant gains in object detection in various domains. More recently, it has shown significant promise in data association and multi-target tracking. Comparative evaluation with existing approaches for data association will be conducted to show benefits of the proposed approach. Approved for Public Release |21-MDA-10789 (21 Apr 21)

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

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