Title: Research on basketball dunk motion recognition method based on characteristic point trajectory

Authors: Yong Wang

Addresses: College of Taiji Wushu, Jiaozuo University, Jiaozuo 454000, China

Abstract: Because of the problems of low recognition accuracy and long recognition time in traditional basketball dunk motion recognition methods, a basketball dunk motion recognition method based on feature point trajectory is proposed. Firstly, the basketball dunk action image model is established, and the action image is obtained. Then, the multi-scale detail enhancement technology is used to preprocess the action image. The preprocessed basketball dunk action image is compared with the ideal image. According to the comparison results, the basketball dunk action feature points are extracted, and the basketball dunk action feature point trajectory is generated. Finally, the basketball dunk action recognition is realised based on the feature point trajectory. The experimental results show that the recognition accuracy of the proposed method is as high as 97.3%, the recognition time is only 10.7 s, and the recognition effect is good. It can effectively recognise the basketball dunk.

Keywords: feature point trajectory; basketball dunk action; multi-scale detail enhancement; action recognition.

DOI: 10.1504/IJCISTUDIES.2023.132486

International Journal of Computational Intelligence Studies, 2023 Vol.12 No.1/2, pp.2 - 14

Received: 01 Sep 2022
Accepted: 16 Nov 2022
Published online: 24 Jul 2023 *

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