@inproceedings{2f710740ded04424a651c9641465b99b,
title = "Hybrid Event and Frame-based System for Target Detection, Tracking, and Identification",
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.",
keywords = "Event-based sensors",
author = "Trevor Schlack and Logan Pawlowski and Amit Ashok",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; Unconventional Imaging, Sensing, and Adaptive Optics 2023 ; Conference date: 21-08-2023 Through 24-08-2023",
year = "2023",
doi = "10.1117/12.2677036",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Dolne, {Jean J.} and Spencer, {Mark F.} and Bose-Pillai, {Santasri R.}",
booktitle = "Unconventional Imaging, Sensing, and Adaptive Optics 2023",
}