Hybrid Event and Frame-based System for Target Detection, Tracking, and Identification

Trevor Schlack, Logan Pawlowski, Amit Ashok

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

Abstract

In this work, we demonstrate a hybrid event-based and frame-based imaging system for the task of target detection and tracking. This system leverages the change detection ability of event-based sensors (EBS) with relatively lower read-out bandwidth for the target detection task within a wide field of view, especially against static backgrounds. The frame-based sensor is used to track the detected target, as cued by the EBS sub-system, at higher spatial/angular resolution within a narrow field of view. Using field trials, the hybrid system is shown to detect and track a 30 cm small drone at stand-off distances up to 100 m at a speed of 12 m/s.

Original languageEnglish (US)
Title of host publicationUnconventional Imaging, Sensing, and Adaptive Optics 2023
EditorsJean J. Dolne, Mark F. Spencer, Santasri R. Bose-Pillai
PublisherSPIE
ISBN (Electronic)9781510666009
DOIs
StatePublished - 2023
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
Volume12693
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceUnconventional Imaging, Sensing, and Adaptive Optics 2023
Country/TerritoryUnited States
CitySan Diego
Period8/21/238/24/23

Keywords

  • Event-based sensors

ASJC Scopus subject areas

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

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