A Hierarchical Children’s Dance Movement Pose Estimation Method Based on Sequence Multiscale Feature Fusion Representation

Aiming at the problem that traditional human motion pose estimation methods cannot accurately capture and estimate the movement changes of children dancers, a hierarchical dance pose estimation method for children based on sequence multiscale feature fusion representation is proposed. By comparing t...

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Main Authors: Yanan Qin, Tao Huang, Guanzhen Tang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/2445210
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author Yanan Qin
Tao Huang
Guanzhen Tang
author_facet Yanan Qin
Tao Huang
Guanzhen Tang
author_sort Yanan Qin
collection DOAJ
description Aiming at the problem that traditional human motion pose estimation methods cannot accurately capture and estimate the movement changes of children dancers, a hierarchical dance pose estimation method for children based on sequence multiscale feature fusion representation is proposed. By comparing the pose feature extraction algorithm with the actual recognition effect, the recognition rates of the dancer’s upper body, infiltration, and whole body have increased by 14.2, 10.6, and 12.6, respectively. The experimental results show that the proposed pose estimation algorithm achieves good pose estimation results on both the standard human pose estimation dataset and the self-built dance dataset.
format Article
id doaj-art-a95afdfd917a4ad5be588c7c782dc8b4
institution Kabale University
issn 1687-5699
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Advances in Multimedia
spelling doaj-art-a95afdfd917a4ad5be588c7c782dc8b42025-08-20T03:39:32ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/2445210A Hierarchical Children’s Dance Movement Pose Estimation Method Based on Sequence Multiscale Feature Fusion RepresentationYanan Qin0Tao Huang1Guanzhen Tang2Preschool EducationSchool of Information ScienceCollege of ArtAiming at the problem that traditional human motion pose estimation methods cannot accurately capture and estimate the movement changes of children dancers, a hierarchical dance pose estimation method for children based on sequence multiscale feature fusion representation is proposed. By comparing the pose feature extraction algorithm with the actual recognition effect, the recognition rates of the dancer’s upper body, infiltration, and whole body have increased by 14.2, 10.6, and 12.6, respectively. The experimental results show that the proposed pose estimation algorithm achieves good pose estimation results on both the standard human pose estimation dataset and the self-built dance dataset.http://dx.doi.org/10.1155/2022/2445210
spellingShingle Yanan Qin
Tao Huang
Guanzhen Tang
A Hierarchical Children’s Dance Movement Pose Estimation Method Based on Sequence Multiscale Feature Fusion Representation
Advances in Multimedia
title A Hierarchical Children’s Dance Movement Pose Estimation Method Based on Sequence Multiscale Feature Fusion Representation
title_full A Hierarchical Children’s Dance Movement Pose Estimation Method Based on Sequence Multiscale Feature Fusion Representation
title_fullStr A Hierarchical Children’s Dance Movement Pose Estimation Method Based on Sequence Multiscale Feature Fusion Representation
title_full_unstemmed A Hierarchical Children’s Dance Movement Pose Estimation Method Based on Sequence Multiscale Feature Fusion Representation
title_short A Hierarchical Children’s Dance Movement Pose Estimation Method Based on Sequence Multiscale Feature Fusion Representation
title_sort hierarchical children s dance movement pose estimation method based on sequence multiscale feature fusion representation
url http://dx.doi.org/10.1155/2022/2445210
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AT taohuang ahierarchicalchildrensdancemovementposeestimationmethodbasedonsequencemultiscalefeaturefusionrepresentation
AT guanzhentang ahierarchicalchildrensdancemovementposeestimationmethodbasedonsequencemultiscalefeaturefusionrepresentation
AT yananqin hierarchicalchildrensdancemovementposeestimationmethodbasedonsequencemultiscalefeaturefusionrepresentation
AT taohuang hierarchicalchildrensdancemovementposeestimationmethodbasedonsequencemultiscalefeaturefusionrepresentation
AT guanzhentang hierarchicalchildrensdancemovementposeestimationmethodbasedonsequencemultiscalefeaturefusionrepresentation