Title: A method for recognising wrong actions of martial arts athletes based on keyframe extraction

Authors: Zhiqiang Li

Addresses: Department of Police Sports Teaching and Research, Jilin Police College, Changchun, 130000, China

Abstract: In order to improve the accuracy of incorrect action recognition and shorten the time required for action recognition, the paper proposes a method for recognising incorrect actions of martial arts athletes based on keyframe extraction. Firstly, the optical flow method is used to filter the key frames of actions, and the shot adaptive K-means clustering algorithm is used to extract the texture features of image frames. Secondly, Euclidean distance is used to calculate the distance between cluster centres and complete the initial selection of keyframes. Finally, the sequence position and video frame rate of the initially selected keyframes is optimised to obtain the final keyframe sequence number and output the error action recognition result. The experimental results show that the error action recognition accuracy of this method is 96.58%, the recognition error is 1.9%, and the recognition time is 11 seconds.

Keywords: keyframe extraction; optical flow method; Lens adaptation; K-means clustering algorithm; Euclidean distance.

DOI: 10.1504/IJBM.2024.138228

International Journal of Biometrics, 2024 Vol.16 No.3/4, pp.256 - 271

Received: 19 May 2023
Accepted: 25 Jul 2023
Published online: 30 Apr 2024 *

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