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Image recognition method for fault service action of tennis based on feature matching

Image recognition method for fault service action of tennis based on feature matching In order to overcome the problems of low accuracy and long time consumption in the traditional image recognition method for fault service action of tennis, this paper proposes a new image recognition method for fault service action of tennis based on feature matching. This method firstly collects and processes the tennis service image, including image greying, image denoising, background difference, etc., then uses Harris operator to extract and describe the image feature points, and finally realises the feature matching by measuring the similarity of the image feature points to complete the fault action recognition of tennis service. The experimental results show that compared with the traditional method, the proposed method improves the recognition accuracy and recognition efficiency greatly, and the shortest recognition time is only 10 s, which provides a favourable basis for improving the tennis players' service technology, and has a wide range of application value. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Biometrics Inderscience Publishers

Image recognition method for fault service action of tennis based on feature matching

International Journal of Biometrics , Volume 13 (2-3): 15 – Jan 1, 2021

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1755-8301
eISSN
1755-831X
DOI
10.1504/IJBM.2021.114641
Publisher site
See Article on Publisher Site

Abstract

In order to overcome the problems of low accuracy and long time consumption in the traditional image recognition method for fault service action of tennis, this paper proposes a new image recognition method for fault service action of tennis based on feature matching. This method firstly collects and processes the tennis service image, including image greying, image denoising, background difference, etc., then uses Harris operator to extract and describe the image feature points, and finally realises the feature matching by measuring the similarity of the image feature points to complete the fault action recognition of tennis service. The experimental results show that compared with the traditional method, the proposed method improves the recognition accuracy and recognition efficiency greatly, and the shortest recognition time is only 10 s, which provides a favourable basis for improving the tennis players' service technology, and has a wide range of application value.

Journal

International Journal of BiometricsInderscience Publishers

Published: Jan 1, 2021

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