High‐precision skeleton‐based human repetitive action counting

• Published in: IET computer vision Vol. 17; no. 6; pp. 700 - 709
• Main Authors: Li, Chengxian, Shao, Ming, Yang, Qirui, Xia, Siyu
• Format: Journal Article
• Language: English
• Published: Stevenage John Wiley & Sons, Inc 01.09.2023; Wiley
• Subjects: Accuracy; computer vision; convolutional neural nets; Counting; Data collection; Datasets; Deep learning; Fourier transforms; Inference; Robustness; Video data

A novel counting model is presented by the authors to estimate the number of repetitive actions in temporal 3D skeleton data. As per the authors’ knowledge, this is the first work of this kind using skeleton data for high‐precision repetitive action counting. Different from existing works on RGB vid...