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个人简介
Matt Brown, Ph.D., is a principal engineer on Kitware’s Computer Vision Team located in Carrboro, North Carolina. He has over 12 years of experience developing advanced imaging systems and image-exploitation algorithms. His expertise spans from the fundamental physics of imaging to the applied aspects of designing and integrating hardware and software to solve challenging problems. At Kitware, he has made key contributions to various cyber-physical projects.
Matt was the lead algorithm developer on the Defense Advanced Research Projects Agency (DARPA) Squad X program, where he wrote software for camera modeling and calibration, multi-modal detection fusion, and person tracking. As the chief scientist on the DARPA URSA program, he established approaches and developed algorithms deployed on a heterogenous video surveillance network. Using these algorithms, the network was able to detect, track, and re-identify entities within a complex urban environment while assessing their activities and relationships.
In addition to his DARPA-funded projects, Matt has led several projects funded by the National Oceanic and Atmospheric Administration (NOAA). These projects included developing autonomous imaging systems for monitoring animal populations and environmental conditions from both manned and unmanned aircraft. Supporting the Marine Mammal Lab of NOAA’s Alaska Fisheries Science Center, Matt developed a system for curated image collection and real-time, deep-learning-based animal detection to support automated aerial surveys of ice-mammal populations. He has also led related efforts miniaturizing this system to run on small unmanned aircraft to produce real-time, deep-learning-based land-cover maps.
Prior to joining Kitware, Matt worked at Logos Technologies, where he developed Wide Area Motion Imagery (WAMI) sensor systems (Kestrel, Simera, Serenity, Redkite) for civilian and military surveillance applications. His contributions included optimizing the design and calibration of complex, multi-camera, optomechanical sensor systems, as well as prototyping the associated control and image processing software. At Logos, Matt was the principal investigator in the development of real-time camera-pose estimation and georegistered EO–IR video rendering algorithms deployed with the sensor systems. He also developed algorithms to demonstrate automated, near-real-time target detection from hyperspectral imagery.
Matt received his Ph.D. in mechanical and aerospace engineering from Princeton University in 2011. His doctoral dissertation, supervised by Professor Craig Arnold, explored a novel, laser-actuated printing process. This work involved time-resolved imaging experiments coupled with image processing and computational modeling of complex fluid-structure interactions. In 2007, He also received his master’s degree in mechanical and aerospace engineering from Princeton. Matt received his bachelor’s degree in mechanical and aerospace engineering from Rutgers University in 2006. He graduated summa cum laude.
研究兴趣
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ADVANCED MATERIALS INTERFACESno. 1 (2024): n/a-n/a
WACVpp.1634-1643, (2023)
I. Peltan,C. E. Barkauskas, S. S. Mistry,B. Grund, M. Teitelbaum, C. F. Oldmixon,M. A. Matthay, V. L. Kan,A. G. Babiker,N. A. Bickell, E. S. Higgs,A. C. Gelijns,J. D. Lundgren,J. D. Neaton, B. Thompson,S. M. Brown
semanticscholar(2021)
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作者统计
#Papers: 33
#Citation: 894
H-Index: 14
G-Index: 22
Sociability: 4
Diversity: 3
Activity: 23
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