Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm

Technical movement analysis requires specialized domain knowledge and processing a large amount of data, and the advantages of AI in processing data can improve the efficiency of data analysis. In this paper, we propose a feature pyramid network-based temporal action detection (FPN-TAD) algorithm, w...

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Main Authors: Quanping Shen, Songzhong Ye
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2021/4320846
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author Quanping Shen
Songzhong Ye
author_facet Quanping Shen
Songzhong Ye
author_sort Quanping Shen
collection DOAJ
description Technical movement analysis requires specialized domain knowledge and processing a large amount of data, and the advantages of AI in processing data can improve the efficiency of data analysis. In this paper, we propose a feature pyramid network-based temporal action detection (FPN-TAD) algorithm, which is used to solve the problem that the action proposal module has a low recall rate for small-scale temporal target action regions in the current video temporal action detection algorithm research. This paper is divided into three parts. The first part is an overview of the algorithm; the second part elaborates the network structure and the working principle of the FPN-TAD algorithm; and the third part gives the experimental results and analysis of the algorithm.
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institution Kabale University
issn 1607-887X
language English
publishDate 2021-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-9460b5f2c6a3490f918d9ccd8737bfc12025-02-03T07:24:15ZengWileyDiscrete Dynamics in Nature and Society1607-887X2021-01-01202110.1155/2021/4320846Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description AlgorithmQuanping Shen0Songzhong Ye1Minjiang Normal CollegeSports Industry Development Research CenterTechnical movement analysis requires specialized domain knowledge and processing a large amount of data, and the advantages of AI in processing data can improve the efficiency of data analysis. In this paper, we propose a feature pyramid network-based temporal action detection (FPN-TAD) algorithm, which is used to solve the problem that the action proposal module has a low recall rate for small-scale temporal target action regions in the current video temporal action detection algorithm research. This paper is divided into three parts. The first part is an overview of the algorithm; the second part elaborates the network structure and the working principle of the FPN-TAD algorithm; and the third part gives the experimental results and analysis of the algorithm.http://dx.doi.org/10.1155/2021/4320846
spellingShingle Quanping Shen
Songzhong Ye
Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm
Discrete Dynamics in Nature and Society
title Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm
title_full Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm
title_fullStr Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm
title_full_unstemmed Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm
title_short Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm
title_sort research on human motion analysis in moving scene based on timing detection and video description algorithm
url http://dx.doi.org/10.1155/2021/4320846
work_keys_str_mv AT quanpingshen researchonhumanmotionanalysisinmovingscenebasedontimingdetectionandvideodescriptionalgorithm
AT songzhongye researchonhumanmotionanalysisinmovingscenebasedontimingdetectionandvideodescriptionalgorithm