Matthew Dawkins

Matthew Dawkins

Senior R&D Engineer

Matthew Dawkins received his B.S. in Computer and Systems Engineering and his M.S. in Computer Science from Rensselaer Polytechnic Institute in 2011. Later that year, he joined Kitware as an R&D Engineer in the Computer Vision department.

Following joining Kitware, Matthew has demonstrated and deployed software at multiple commercial customer sites, government facilities, and conferences. He has been the principal software engineer on multiple projects, and made significant contributions to written proposals.

At RPI, his master’s thesis involved prototyping algorithms for object detection in benthic imagery derived from underwater probes used at Woods Hole Oceanographic Institute. He was an officer of Eta Kappa Nu and his studies focused on signal processing and intelligent systems. Before joining Kitware, Mr. Dawkins interned at Boeing, Columbia University and Biodex Medical Systems in various engineering roles.

  1. M. Dawkins, L. Sherrill, K. Fieldhouse, A. Hoogs, B. Richards, D. Zhang, L. Prasad, K. Williams, N. Lauffenburger, and G. Wang, "An open-source platform for underwater image and video analytics," in Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2017. Winner, Best Paper Honorable Mention. [URL]
  2. C. Law, J. Parham, M. Dawkins, P. Tunison, D. Stoup, R. Blue, K. Fieldhouse, M. Turek, A. Hoogs, S. Han, A. Farafard, J. Kerekes, E. Lentilucci, M. Gartley, T. Savakis, T. Rovito, S. Thomas, and C. Stansifer, "Deep learning for object detection and object-based change detection in satellite imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2017.
  3. M. Dawkins, R. Collins, and A. Hoogs, "Using Convolutional Neural Networks for Content-Based FMV Retrieval," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2017.
  4. M. Leotta, E. Smith, M. Dawkins, and P. Tunison, "Open source structure-from-motion for aerial video," in Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2016. [URL]
  5. M. Dawkins, A. Basharat, J. Becker, M. Turek, and A. Hoogs, "Deep architecture for small mover detection in overhead infrared imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2016.
  6. M. Dawkins, Z. Sun, J. Becker, A. Basharat, A. Hoogs, and M. Turek, "Track Object Type Classification Across a Range of Scales and Types of Video," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2016.
  7. K. Fieldhouse, M. Leotta, A. Basharat, R. Blue, D. Stoup, C. Atkins, L. Sherrill, B. Boeckel, P. Tunison, J. Becker, M. Dawkins, M. Woehlke, R. Collins, M. Turek, and A. Hoogs, "KWIVER: An open source cross-platform video exploitation framework," in Applied Imagery Pattern Recognition Workshop, 2014. [URL]
  8. M. Dawkins, Z. Sun, A. Basharat, A. Perera, and A. Hoogs, "Tracking nautical objects in real-time via layered saliency detection," in SPIE Defense, Security, and Sensing Motion Imagery for ISR and Situational Awareness, 2014. [URL]
  9. M. Dawkins, A. Perera, and A. Hoogs, "Real-time heads-up display detection in video," in Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2014. [URL]
  10. M. Dawkins and A. Hoogs, "Automatic image-plane aligned obstruction detection in EO and IR video," in Proceedings of the MSS National Symposium on Passive Sensors, 2014.
  11. M. Dawkins, C. Stewart, S. Gallager, and A. York, "Automatic scallop detection in benthic environments," in Proceedings of the IEEE Workshop on Applications of Computer Vision, 2013. [URL]
  12. M. Dawkins and C. Stewart, "Scallop detection in multiple maritime environments," Rensselaer Polytechnic Institute, 2011.