Event-Based Sensing for Space-Based Applications
Join us for the upcoming CTTC Seminar, “Event-Based Sensing for Space-Based Applications”, featuring Dr. Scott McCloskey.
- Speaker: Dr. Scott McCloskey, Director of Computational Imaging
- Date & Time: Tuesday, October 6, 2026 | 10:00 AM CET
- Location: CTTC Auditorium (Building B6)
- Available online
- Duration: Approximately 45 minutes and Q&A
About the Seminar
Event-based sensors (EBS) represent a new and exciting way to capture visual data, and have three key advantages over conventional sensors. First, by only generating a signal when the rate of photon arrival at a pixel changes, event streams are sparser and easier to process than conventional video streams. Second, the lack of a frame-wide exposure time enables the capture of higher dynamic range. Finally, the microsecond timestamping of events makes EBS a great way to capture fast-moving changes while avoiding motion blur. These three advantages make EBS well suited for space applications, where much of the scene is unchanging, the dynamic range is very high, and where relative orbital motions can be very high. This talk reviews event-based sensors and then looks into two space-based applications, namely star tracking from an event-based sensor looking out into deep space and then a remote sensing task for vehicle re-identification.
Dr. Scott McCloskey is the Director of Computational Imaging at Kitware, where he leads a group of researchers and developers within the Computer Vision team to develop new capabilities involving non-traditional sensing. During his time at Kitware Dr. McCloskey has led several large, multi-organization teams for research projects funded by the Defense Advanced Research Projects Agency (DARPA), Intelligence Advanced Research Projects Activity (IARPA), Air Force Research Laboratory (AFRL), National Geospatial-Intelligence Agency (NGA), and Missile Defense Agency (MDA). In addition to leading the Computational Imaging sub-group, Dr. McCloskey founded Kitware’s Office in Minneapolis.
Dr. McCloskey remains actively involved with technical conferences in the computer vision and computational imaging communities. He has served as general chair, program chair, and area chair for the IEEE Winter Conference on the Applications of Computer Vision (WACV); as the industrial relations chair, corporate relations chair, and area chair for the premier computer vision conferences including the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) and International Conference on Computer Vision (ICCV). He has served as a reviewer for many other conferences and journals, on a National Science Foundation review panel, and as an associate editor of the Pattern Recognition journal.
Dr. McCloskey received his Ph.D. in Computer Science from McGill University in 2008, his M.S. in computer science from the Rochester Institute of Technology in 2002, and his B.S. in computer science and mathematics from the University of Wisconsin – Madison in 1998. Between his undergraduate and Ph.D., Scott completed the Image Science Career Development program at the Eastman Kodak research labs.