Faces in Event Streams (FES): An Annotated Face Dataset for Event Cameras.

Ulzhan Bissarinova, Tomiris Rakhimzhanova, Daulet Kenzhebalin, Huseyin Atakan Varol

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Event-Based Machine Vision for Edge AI Computing.Sensors (Basel, Switzerland) · 2026
Article

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5 · Who and what money

Authors and funding

4 authors.

Ulzhan BissarinovaInstitute of Smart Systems and Artificial Intelligence, Nazarbayev University, Astana 010000, Kazakhstan.ORCID 0009-0000-1166-3940

Tomiris RakhimzhanovaInstitute of Smart Systems and Artificial Intelligence, Nazarbayev University, Astana 010000, Kazakhstan.

Daulet KenzhebalinInstitute of Smart Systems and Artificial Intelligence, Nazarbayev University, Astana 010000, Kazakhstan.

Huseyin Atakan VarolInstitute of Smart Systems and Artificial Intelligence, Nazarbayev University, Astana 010000, Kazakhstan.ORCID 0000-0002-4042-425X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of event-based cameras in computer vision is a growing research direction. However, despite the existing research on face detection using the event camera, a substantial gap persists in the availability of a large dataset featuring annotations for faces and facial landmarks on event streams, thus hampering the development of applications in this direction. In this work, we address this issue by publishing the first large and varied dataset (Faces in Event Streams) with a duration of 689 min for face and facial landmark detection in direct event-based camera outputs. In addition, this article presents 12 models trained on our dataset to predict bounding box and facial landmark coordinates with an mAP

Indexed as

computer visionevent cameraevent streamface detectionfacial landmark detection

Identifiers

PMID38474947

DOI10.3390/s24051409

PMCPMC10935361

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LicenceCC BY

Read underepoch 390

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.