Hybrid event and frame-based system for target detection, tracking, and identification

Trevor Schlack; Logan Pawlowski; Amit Ashok

doi:10.1117/12.2677036

3 October 2023 Hybrid event and frame-based system for target detection, tracking, and identification

Trevor Schlack, Logan Pawlowski, Amit Ashok

Proceedings Volume 12693, Unconventional Imaging, Sensing, and Adaptive Optics 2023; 1269310 (2023) https://doi.org/10.1117/12.2677036
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

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.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Trevor Schlack, Logan Pawlowski, and Amit Ashok "Hybrid event and frame-based system for target detection, tracking, and identification", Proc. SPIE 12693, Unconventional Imaging, Sensing, and Adaptive Optics 2023, 1269310 (3 October 2023); https://doi.org/10.1117/12.2677036

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