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

Quanping Shen | Zendy; YE Song-zhong | Zendy

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

Author(s) -

Quanping Shen,

YE Song-zhong

Publication year - 2021

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2021/4320846

Subject(s) - computer science , pyramid (geometry) , action (physics) , algorithm , domain (mathematical analysis) , feature (linguistics) , artificial intelligence , motion (physics) , motion detection , computer vision , pattern recognition (psychology) , mathematics , philosophy , physics , geometry , mathematical analysis , linguistics , quantum mechanics

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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