Human Action Recognition Technology in Dance Video Image

In order to effectively improve the recognition rate of human action in dance video image, shorten the recognition time of human action, and ensure the recognition effect of dance motion, this study proposes a human motion recognition method of dance video image. This recognition method uses neural...

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Autores principales:	Lei Qiao, QiuHao Shen
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/2dda44711afc4bbbbcfdb6ba355bca30
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id	oai:doaj.org-article:2dda44711afc4bbbbcfdb6ba355bca30
record_format	dspace
spelling	oai:doaj.org-article:2dda44711afc4bbbbcfdb6ba355bca302021-11-15T01:19:07ZHuman Action Recognition Technology in Dance Video Image1875-919X10.1155/2021/6144762https://doaj.org/article/2dda44711afc4bbbbcfdb6ba355bca302021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6144762https://doaj.org/toc/1875-919XIn order to effectively improve the recognition rate of human action in dance video image, shorten the recognition time of human action, and ensure the recognition effect of dance motion, this study proposes a human motion recognition method of dance video image. This recognition method uses neural network theory to transform and process the human action posture in the dance video image, constructs the hybrid model of human motion feature pixels according to the feature points of human action in the image coordinate system, and extracts the human motion features in dance video image. This study uses the background probability model of human action image to sum the variance of human action feature function and update the human action feature function. It can also use Kalman filter to detect human action in dance video image. In the research process, it gets the human multiposture action image features according to the linear combination of human action features. Combined with the feature distribution matrix, it processes the human action features through pose transformation and obtains the human action feature model in the dance video image to accurately identify the human action in the dance video image. The experimental results show that the dance motion recognition effect of the proposed method is good, which can effectively improve the recognition rate of human action in dance video image and shorten the recognition time.Lei QiaoQiuHao ShenHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer software QA76.75-76.765
spellingShingle	Computer software QA76.75-76.765 Lei Qiao QiuHao Shen Human Action Recognition Technology in Dance Video Image
description	In order to effectively improve the recognition rate of human action in dance video image, shorten the recognition time of human action, and ensure the recognition effect of dance motion, this study proposes a human motion recognition method of dance video image. This recognition method uses neural network theory to transform and process the human action posture in the dance video image, constructs the hybrid model of human motion feature pixels according to the feature points of human action in the image coordinate system, and extracts the human motion features in dance video image. This study uses the background probability model of human action image to sum the variance of human action feature function and update the human action feature function. It can also use Kalman filter to detect human action in dance video image. In the research process, it gets the human multiposture action image features according to the linear combination of human action features. Combined with the feature distribution matrix, it processes the human action features through pose transformation and obtains the human action feature model in the dance video image to accurately identify the human action in the dance video image. The experimental results show that the dance motion recognition effect of the proposed method is good, which can effectively improve the recognition rate of human action in dance video image and shorten the recognition time.
format	article
author	Lei Qiao QiuHao Shen
author_facet	Lei Qiao QiuHao Shen
author_sort	Lei Qiao
title	Human Action Recognition Technology in Dance Video Image
title_short	Human Action Recognition Technology in Dance Video Image
title_full	Human Action Recognition Technology in Dance Video Image
title_fullStr	Human Action Recognition Technology in Dance Video Image
title_full_unstemmed	Human Action Recognition Technology in Dance Video Image
title_sort	human action recognition technology in dance video image
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/2dda44711afc4bbbbcfdb6ba355bca30
work_keys_str_mv	AT leiqiao humanactionrecognitiontechnologyindancevideoimage AT qiuhaoshen humanactionrecognitiontechnologyindancevideoimage
_version_	1718428972347293696

Human Action Recognition Technology in Dance Video Image

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