Related papers: Event-based Solutions for Human-centered Applications: A Comprehensive Review

Event-based Solutions for Human-centered Applications: A Comprehensive Review

URL: http://arxiv.org/abs/2502.18490v1
Date: Mon, 17 Feb 2025 13:15:19 GMT
Title: Event-based Solutions for Human-centered Applications: A Comprehensive Review
Authors: Mira Adra, Simone Melcarne, Nelida Mirabet-Herranz, Jean-Luc Dugelay,
Abstract summary: Event cameras capture changes in light intensity asynchronously, offering exceptional temporal resolution and energy efficiency.<n>Despite growing interest, research in human-centered applications of event cameras remains scattered.<n>This survey bridges that gap by being the first to unify these domains.
Score: 3.112384742740621
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Event cameras, often referred to as dynamic vision sensors, are groundbreaking sensors capable of capturing changes in light intensity asynchronously, offering exceptional temporal resolution and energy efficiency. These attributes make them particularly suited for human-centered applications, as they capture both the most intricate details of facial expressions and the complex motion dynamics of the human body. Despite growing interest, research in human-centered applications of event cameras remains scattered, with no comprehensive overview encompassing both body and face tasks. This survey bridges that gap by being the first to unify these domains, presenting an extensive review of advancements, challenges, and opportunities. We also examine less-explored areas, including event compression techniques and simulation frameworks, which are essential for the broader adoption of event cameras. This survey is designed to serve as a foundational reference that helps both new and experienced researchers understand the current state of the field and identify promising directions for future work in human-centered event camera applications. A summary of this survey can be found at https://github.com/nmirabeth/event_human

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