Article
Version 1
This version is not peer-reviewed
Avatar Detection in Metaverse Recordings
Version 1
: Received: 30 July 2024 / Approved: 31 July 2024 / Online: 31 July 2024 (09:00:52 CEST)
How to cite: Becker, F.; Steinert, P.; Wagenpfeil, S.; Hemmje, M. L. Avatar Detection in Metaverse Recordings. Preprints 2024, 2024072512. https://doi.org/10.20944/preprints202407.2512.v1 Becker, F.; Steinert, P.; Wagenpfeil, S.; Hemmje, M. L. Avatar Detection in Metaverse Recordings. Preprints 2024, 2024072512. https://doi.org/10.20944/preprints202407.2512.v1
Abstract
The metaverse is gradually expanding. There is a growing number of photo and video recordings of metaverse virtual worlds being used in multiple domains, with growing collections. An essential element of the metaverse and its recordings are avatars. In this paper, we present a novel task of avatar detection in metaverse recordings, supporting semantic retrieval in collections of metaverse recordings and other use cases. Our work addresses the characterizations and definitions of avatars and presents a new model supporting avatar detection. The latest object detection algorithms are trained and tested on a variety of avatar types in metaverse recordings. Our work achieves a higher level of accuracy than existing models, which encourages further research in this field.
Keywords
Avatars; Object Detection; YOLO; Artificial Intelligence; Convolutional Neural Networks; Metaverse
Subject
Computer Science and Mathematics, Computer Vision and Graphics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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