04/29/2022
By Sokny Long
The Francis College of Engineering, Department of Electrical & Computer Engineering, invites you to attend a doctoral proposal defense by Brittany Decker on “Adaptive muti-algorithm target tracking.”
PhD Student: Brittany Decker
Proposal Defense Date: Thursday, May 12, 2022
Time: 3 to 4:30 p.m. EST
Location: This will be a virtual defense via Zoom. Those interested in attending should contact the student, brittany_decker@student.uml.edu, and committee advisor, jay_weitzen@uml.edu, at least 24 hours prior to the defense to request access to the meeting.
Committee Chair (Advisor): Jay Weitzen, Professor & Department Chair, Electrical and Computer Engineering, UMass Lowell
Committee Members:
- Paul Robinette, Assistant Professor, Electrical and Computer Engineering, UMass Lowell
- Thanuka Wickamaranthe, Assistant Professor, Electrical and Computer Engineering, UMass Lowell
- James Vogel, Lead Scientist, STR
Current approaches to multi-target tracking lack the flexibility and robustness necessary to perform in a wide variety of scenarios. This proposal defense presents an Adaptive Multi-Target Tracker (AMTT) where data association algorithms can be executed and swapped on-the-fly for optimal data association performance without unnecessary computational resource utilization. The AMTT provides industry standard multi-target tracking capability across a wide variety of dynamic scenarios using a novel classification system for selection of an optimal data association algorithm for each target. The classification system determines and executes the optimal data association algorithm for clusters of targets to navigate the computational complexity versus performance trade space. Until now, a mechanism that allows for the real-time selection of the optimal data association algorithm for a target or cluster of targets has not been proposed or examined.
All interested students and faculty members are invited to attend the online defense via remote access.