ArticleFrontiers in neuroscience2020
Event-Based Face Detection and Tracking Using the Dynamics of Eye Blinks.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Algorithm-hardware co-design of neuromorphic networks with dual memory pathways.Nature machine intelligence · 2026Article
- Faces in Event Streams (FES): An Annotated Face Dataset for Event Cameras.Sensors (Basel, Switzerland) · 2024Article
- Isolated single sound lip-reading using a frame-based camera and event-based camera.Frontiers in artificial intelligence · 2022Article
- Event Encryption for Neuromorphic Vision Sensors: Framework, Algorithm, and Evaluation.Sensors (Basel, Switzerland) · 2021Article
- A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare.Sensors (Basel, Switzerland) · 2021Article
- Face Pose Alignment with Event Cameras.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
We present the first purely event-based method for face detection using the high temporal resolution properties of an event-based camera to detect the presence of a face in a scene using eye blinks. Eye blinks are a unique and stable natural dynamic temporal signature of human faces across population that can be fully captured by event-based sensors. We show that eye blinks have a unique temporal signature over time that can be easily detected by correlating the acquired local activity with a generic temporal model of eye blinks that has been generated from a wide population of users. In a second stage once a face has been located it becomes possible to apply a probabilistic framework to track its spatial location for each incoming event while using eye blinks to correct for drift and tracking errors. Results are shown for several indoor and outdoor experiments. We also release an annotated data set that can be used for future work on the topic.
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Registered trials
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.