Real-Time Dance Posture Tracking Method Based on Lightweight Network

Author:

Wang Zhigang1ORCID

Affiliation:

1. School of Music and Dance, Guangzhou University, Guangzhou 510006, China

Abstract

Video analysis of human motion has been widely used in intelligent monitoring, sports analysis, and virtual reality as a research hotspot in computer vision. It is necessary to decompose and track the movements in the process of movement in order to improve the training quality in dance training. The traditional motion tracking decomposition method, on the other hand, is unable to calculate the visual changes of adjacent key nodes, and the contour of 3D visual motion tracking remains ambiguous. This paper applies the human posture estimation algorithm in computer vision to the detection of key points of rectangular objects and obtains the heat map of key points of rectangular objects by adding a lightweight feature extraction network and a feature pyramid layer integrating multilayer semantic information, on the basis of summarizing and analyzing related research work at home and abroad. Because of the fusion of multilayer information, the network’s design not only reduces the amount of calculation and parameters but also improves the accuracy of the final detection result. The test results show that the proposed algorithm’s recognition accuracy has improved.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comprehensive Survey on Human Motion Tracking System;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

2. Flight Controller as a Low-Cost IMU Sensor for Human Motion Measurement;Sensors;2023-02-20

3. Application of Response Surface Methodology in Dance Health and Training Safety;Mathematical Problems in Engineering;2022-08-04

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