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

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  • Quanping Shen
  • Songzhong Ye
  • Gengxin Sun

Abstract

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.

Suggested Citation

  • Quanping Shen & Songzhong Ye & Gengxin Sun, 2021. "Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-10, December.
    • Handle: RePEc:hin:jnddns:4320846
    DOI: 10.1155/2021/4320846
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