Football referee gesture recognition algorithm based on YOLOv8s
Gesture serves as a crucial means of communication between individuals and between humans and machines. In football matches, referees communicate judgment information through gestures. Due to the diversity and complexity of referees’ gestures and interference factors, such as the players, spectators...
Main Authors: | Zhiyuan Yang, Yuanyuan Shen, Yanfei Shen |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-02-01
|
Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2024.1341234/full |
Similar Items
-
Static Gesture Recognition Algorithm Based on Improved YOLOv5s
by: Shengwang Wu, et al.
Published: (2023-01-01) -
High Inclusiveness and Accuracy Motion Blur Real-Time Gesture Recognition Based on YOLOv4 Model Combined Attention Mechanism and DeblurGanv2
by: Hongchao Zhuang, et al.
Published: (2021-10-01) -
Improving Tire Specification Character Recognition in the YOLOv5 Network
by: Qing Zhao, et al.
Published: (2023-06-01) -
Real-Time Hand Gesture Recognition Based on Deep Learning YOLOv3 Model
by: Abdullah Mujahid, et al.
Published: (2021-05-01) -
Dynamic Gesture Recognition System with Gesture Spotting Based on Self-Organizing Maps
by: Hiroomi Hikawa, et al.
Published: (2021-02-01)