@InProceedings{JorgeCharco2022,
author="Jorge Charco
and Angel Sappa
and Boris X. Vintimilla",
title="Human Pose Estimation through a Novel Multi-view Scheme",
booktitle="17th International Conference on Computer Vision Theory and Applications (VISAPP 2022)",
year="2022",
volume="5",
pages="855--862",
optkeywords="Multi-view Scheme",
optkeywords="Human Pose Estimation",
optkeywords="Relative Camera Pose",
optkeywords="Monocular Approach",
abstract="This paper presents a multi-view scheme to tackle the challenging problem of the self-occlusion in human pose estimation problem. The proposed approach first obtains the human body joints of a set of images, which are captured from different views at the same time. Then, it enhances the obtained joints by using amulti-view scheme. Basically, the joints from a given view are used to enhance poorly estimated joints from another view, especially intended to tackle the self occlusions cases. A network architecture initially proposed for the monocular case is adapted to be used in the proposed multi-view scheme. Experimental results andcomparisons with the state-of-the-art approaches on Human3.6m dataset are presented showing improvements in the accuracy of body joints estimations.",
optnote="MSIAU; 600.160",
optnote="exported from refbase (http://158.109.8.37/show.php?record=3689), last updated on Tue, 25 Apr 2023 14:47:53 +0200",
isbn="978-989-758-555-5",
issn="2184-4321",
opturl="https://www.scitepress.org/Link.aspx?doi=10.5220/0010899900003124",
file=":http://158.109.8.37/files/CSV2022.pdf:PDF"
}