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Reliability Enhancement Algorithm of Human Motion Recognition Based on Knowledge Graph

Reliability Enhancement Algorithm of Human Motion Recognition Based on Knowledge Graph

Yongwei Wang, Feng Feng
Copyright: © 2021 |Volume: 12 |Issue: 1 |Pages: 15
ISSN: 1947-3532|EISSN: 1947-3540|EISBN13: 9781799861720|DOI: 10.4018/IJDST.2021010101
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MLA

Wang, Yongwei, and Feng Feng. "Reliability Enhancement Algorithm of Human Motion Recognition Based on Knowledge Graph." IJDST vol.12, no.1 2021: pp.1-15. http://doi.org/10.4018/IJDST.2021010101

APA

Wang, Y. & Feng, F. (2021). Reliability Enhancement Algorithm of Human Motion Recognition Based on Knowledge Graph. International Journal of Distributed Systems and Technologies (IJDST), 12(1), 1-15. http://doi.org/10.4018/IJDST.2021010101

Chicago

Wang, Yongwei, and Feng Feng. "Reliability Enhancement Algorithm of Human Motion Recognition Based on Knowledge Graph," International Journal of Distributed Systems and Technologies (IJDST) 12, no.1: 1-15. http://doi.org/10.4018/IJDST.2021010101

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Abstract

In order to solve the problem of uneven spatial distribution of human motion image and low peak signal-to-noise ratio (PSNR) of image reliability enhancement, a reliability enhancement algorithm for human motion recognition based on knowledge graph is proposed. An automatic spatial planning model of human motion image is constructed. The human motion spatial features are sampled, and the three-dimensional contour feature reconstruction model is established. The human motion spatial contour structure is reconstructed by adaptive edge feature detection method, and the knowledge graph of the motion image is extracted. Multi-scale information enhancement method is used to enhance and recognize the reliability of human motion image. The experimental results show that the method has the advantages of good reliability, high signal-to-noise ratio of image enhancement, and high accuracy of human motion recognition.

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