Glen Brooksby

Staff R&D Engineer

Glen Brooksby is a staff R&D engineer on Kitware’s Computer Vision Team located in Clifton Park, New York.  

Before joining Kitware, Glen was a senior engineer for GE Research. His recent work involved application development for field engineer productivity and tooling solutions. During his tenure at GE Research, Brooksby was part of a large team that won the GE Research Dushman Award in 2013 for developing Ceramic Metal Composite (CMC) materials for use in GE turbine products. He contributed by developing software to perform automated analysis of CMC micrographs.

During Glen’s time at GE, he spent 15 years in computer vision software development for industrial and government applications.

Prior to working at GE, Glen worked at Ford Aerospace, Space Systems Division in Palo Alto, California.

Glen received his Master of Engineering degree in electrical engineering from Rensselaer Polytechnic Institute. He received his Bachelor of Science, Electrical Engineering degree from Brigham Young University.


M.E. in electrical engineering from Rensselaer Polytechnic Institute

B.S.E.E. in electrical engineering from Brigham Young University

Get to Know Glen

Why did you want to become a Kitwarean? I have known of Kitware since its early days because some of their software originally grew out of projects conducted at GE Research. I have also worked with some of the Kitware staff when they were at GE and I have respect for their work. When I decided to leave GE, Kitware was a natural draw.

What you love most about what you do? I love seeing my work actually help people in real life. My work has generally made people’s work-life easier by offloading the burden of analysis onto computers, which are ever-more ubiquitous in our world.

Share something interesting about yourself that is not on your resume. When I was younger, I lived in Japan for 2 years and learned to speak, read, and write Japanese. My skills have deteriorated from lack of use, but recently I have been trying to brush up my speaking and reading.


Dushman Award presented by GE Research, 2013



A list of Glen’s publications is featured below. For a list of all computer vision publications, please see the Computer Vision Publications page.

  1. P. Tu, G. Brooksby, G. Doretto, D. Hamilton, N. Krahnstoever, J. Laflen, X. Liu, K. Patwardhan, T. Sebastian, Y. Tong, and others, "Video analytics for force protection," in Distributed Video Sensor Networks. Springer, 2011, pp. 405–425.
  2. D. Chan, G. Brooksby, J. Hochwarth, J. Klooster, and S. Torres, "Air-ground trajectory synchronization—Metrics and simulation results," in 2011 IEEE/AIAA 30th Digital Avionics Systems Conference, 2011.
  3. G. Abramovich, G. Brooksby, S. Bush, S. Manickam, O. Ozcanli, and B. Garrett, "A comparative study of four change detection methods for aerial photography applications," in Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VII, 2010.
  4. J. Laflen, C. Greco, G. Brooksby, and E. Barrett, "Objective performance evaluation of a moving object super-resolution system," in 2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009), 2009.
  5. A. Hoogs, S. Bush, G. Brooksby, A. Perera, M. Dausch, and N. Krahnstoever, "Detecting Semantic Group Activities Using Relational Clustering," in Proceedings of the IEEE Workshop on Motion and Video Computing, 2008. [URL]
  6. D. Padfield, G. Brooksby, and R. Kaucic, "Automatic Deformation Detection for Aircraft Engine Disk Inspection.," Journal of Multimedia, vol. 2, no. 4, 2007.
  7. D. Padfield, G. Brooksby, and R. Kaucic, "Automatic Deformation Detection for Visual Post Inspection," in 2007 IEEE Workshop on Applications of Computer Vision (WACV'07), 2007.
  8. A. Perera, A. Hoogs, C. Srinivas, G. Brooksby, and W. Hu, "Evaluation of Algorithms for Tracking Multiple Objects in Video," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2006. [URL]
  9. A. Perera, G. Brooksby, A. Hoogs, and G. Doretto, "Moving Object Segmentation using Scene Understanding," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2006. [URL]
  10. A. Perera, C. Srinivas, A. Hoogs, G. Brooksby, and W. Hu, "Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006. [URL]
  11. R. Kokku and G. Brooksby, "Improving 3D surface measurement accuracy on metallic surfaces," in Optical Measurement Systems for Industrial Inspection IV, 2005.
  12. R. Kaucic, A. Perera, G. Brooksby, J. Kaufhold, and A. Hoogs, "A Unified Framework for Tracking through Occlusions and across Sensor Gaps," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005. [URL]
  13. K. Raghu, G. Brooksby, and P. Tu, "Real-time 3 D surface measurement.," in Sixth IASTED International Conference on Computer Graphics and Imaging, 2003.
  14. R. Zinser, M. Grabb, S. Koch, and G. Brooksby, "Time domain voicing cutoff (TDVC): a high quality, low complexity 1.3-2.0 kb/sec vocoder," in 1997 IEEE Workshop on Speech Coding for Telecommunications Proceedings. Back to Basics: Attacking Fundamental Problems in Speech Coding, 1997.
  15. G. Brooksby and C. Penney, "Measurement of ultrasonically modulated scattered light for imaging in turbid media," in Optical Tomography, Photon Migration, and Spectroscopy of Tissue and Model Media: Theory, Human Studies, and Instrumentation, 1995.
  16. E. Berkcan, J. Tiemann, and G. Brooksby, "Sensors with centroid-based common sensing scheme and their multiplexing," in Fiber Optic and Laser Sensors X, 1993.
  17. F. Marks, H. Tomlinson, and G. Brooksby, "Comprehensive approach to breast cancer detection using light: photon localization by ultrasound modulation and tissue characterization by spectral discrimination," in Photon Migration and Imaging in Random Media and Tissues, 1993.

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