Saved in:
Bibliographic Details
Main Authors: Colantoni, Philippe, Ahmed, Rafique, Ghimire, Prashant, Muselet, Damien, Trémeau, Alain
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2505.07249
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866918017616576512
author Colantoni, Philippe
Ahmed, Rafique
Ghimire, Prashant
Muselet, Damien
Trémeau, Alain
author_facet Colantoni, Philippe
Ahmed, Rafique
Ghimire, Prashant
Muselet, Damien
Trémeau, Alain
contents The accuracy and efficiency of human body pose estimation depend on the quality of the data to be processed and of the particularities of these data. To demonstrate how dance videos can challenge pose estimation techniques, we proposed a new 3D human body pose estimation pipeline which combined up-to-date techniques and methods that had not been yet used in dance analysis. Second, we performed tests and extensive experimentations from dance video archives, and used visual analytic tools to evaluate the impact of several data parameters on human body pose. Our results are publicly available for research at https://www.couleur.org/articles/arXiv-1-2025/
format Preprint
id arxiv_https___arxiv_org_abs_2505_07249
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle When Dance Video Archives Challenge Computer Vision
Colantoni, Philippe
Ahmed, Rafique
Ghimire, Prashant
Muselet, Damien
Trémeau, Alain
Computer Vision and Pattern Recognition
The accuracy and efficiency of human body pose estimation depend on the quality of the data to be processed and of the particularities of these data. To demonstrate how dance videos can challenge pose estimation techniques, we proposed a new 3D human body pose estimation pipeline which combined up-to-date techniques and methods that had not been yet used in dance analysis. Second, we performed tests and extensive experimentations from dance video archives, and used visual analytic tools to evaluate the impact of several data parameters on human body pose. Our results are publicly available for research at https://www.couleur.org/articles/arXiv-1-2025/
title When Dance Video Archives Challenge Computer Vision
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2505.07249