Practical high-speed motion sensing: event cameras vs. global shutter

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F20%3A00338030" target="_blank" >RIV/68407700:21730/20:00338030 - isvavai.cz</a>

Alternative codes found

RIV/60162694:G43__/20:00555949

Result on the web

<a href="http://data.vicos.si/cvww20/26.pdf" target="_blank" >http://data.vicos.si/cvww20/26.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Practical high-speed motion sensing: event cameras vs. global shutter

Original language description

We designed two maximally simplified and controlled experiments to test event-based and frame-based cameras in the price category affordable for an ordinary university research lab. First, we put common ArUco markers on a rotating disk and observed them by both types of cameras. We reconstructed the image from an event camera using a publicly available state-of-the-art algorithm and compared the ArUco marker recognition reliability. Surprisingly, our results suggest that the ability of the tested event camera to recognise quickly moving markers is inferior to an affordable $1000$~fps frame-based camera. In the second experiment, we let the cameras observe a freely flying subsonic pistol projectile. A very expensive $20000+$~fps camera provided ground-truth images, as the acquisition rate of the affordable frame-based camera was insufficient. Although event camera data was partially corrupt, it still allowed us to estimate the position of the small projectile every $10$~$mu$s, when the projectile translated mostly along the event camera pixel rows.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF15_003%2F0000470" target="_blank" >EF15_003/0000470: Robotics 4 Industry 4.0</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 25th Computer Vision Winter Workshop Conference February 3-5, 2020, Rogaška Slatina, Slovenia

ISBN

978-961-90901-9-0

ISSN

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e-ISSN

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Number of pages

9

Pages from-to

55-63

Publisher name

Slovenian Pattern Recognition Society

Place of publication

Ljubljana

Event location

Rogaška Slatina

Event date

Feb 3, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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