EEPPR: Event-based Estimation of Periodic Phenomena Rate using Correlation in 3D

We present a novel method for measuring the rate of periodic phenomena (e.g., rotation, flicker, and vibration), by an event camera, a device asynchronously reporting brightness changes at independently operating pixels with high temporal resolution. The approach assumes that for a periodic phenomen...

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Bibliographic Details
Published in:arXiv.org 2024-09
Main Authors: Kolář, Jakub, Špetlík, Radim, Matas, Jiří
Format: Article
Language:English
Subjects:
Datasets
Measurement methods
Rotation
Spatiotemporal data
Temporal resolution
Vibration measurement
Online Access:Get full text
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Summary:We present a novel method for measuring the rate of periodic phenomena (e.g., rotation, flicker, and vibration), by an event camera, a device asynchronously reporting brightness changes at independently operating pixels with high temporal resolution. The approach assumes that for a periodic phenomenon, a highly similar set of events is generated within a spatio-temporal window at a time difference corresponding to its period. The sets of similar events are detected by a correlation in the spatio-temporal event stream space. The proposed method, EEPPR, is evaluated on a dataset of 12 sequences of periodic phenomena, i.e. flashing light and vibration, and periodic motion, e.g., rotation, ranging from 3.2 Hz to 2 kHz (equivalent to 192 - 120 000 RPM). EEPPR significantly outperforms published methods on this dataset, achieving a mean relative error of 0.1%, setting new state-of-the-art. The dataset and codes are publicly available on GitHub.
ISSN:2331-8422