Analysis of Event-based Sensor System Performance with Moving Object Detection Tasks

Joseph C. Cox, Jacob A. Trzaska, Amit Ashok, Nicholas Morley

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this work, we describe a test setup and experiments for evaluating event-based-sensor (EBS) based imaging systems in detecting small, moving objects against complex backgrounds. First, design decisions and the components of the setup are described, followed by how the setup is useful for conducting statistical performance analysis. The system description is followed up by testing different system configurations, investigating several algorithms including motion estimation, and noise filtering, compared to a reference system. We measure their effect on performance through Receiver Operating Characteristic (ROC) analysis, testing across many scene variations. We provide the results with a set of plots coupled with discussion and analysis.

Original languageEnglish (US)
Title of host publicationUnconventional Imaging, Sensing, and Adaptive Optics 2023
EditorsJean J. Dolne, Mark F. Spencer, Santasri R. Bose-Pillai
ISBN (Electronic)9781510666009
StatePublished - 2023
Externally publishedYes
EventUnconventional Imaging, Sensing, and Adaptive Optics 2023 - San Diego, United States
Duration: Aug 21 2023Aug 24 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceUnconventional Imaging, Sensing, and Adaptive Optics 2023
Country/TerritoryUnited States
CitySan Diego

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Analysis of Event-based Sensor System Performance with Moving Object Detection Tasks'. Together they form a unique fingerprint.

Cite this