Table Tennis Track Detection Based on Temporal Feature Multiplexing Network

Table Tennis Track Detection Based on Temporal Feature Multiplexing Network

Recording the trajectory of table tennis balls in real-time enables the analysis of the opponent’s attacking characteristics and weaknesses. The current analysis of the ball paths mainly relied on human viewing, which lacked certain theoretical data support. In order to solve the problem of the lack...

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Bibliographic Details
Main Authors: Wenjie Li, Xiangpeng Liu, Kang An, Chengjin Qin, Yuhua Cheng
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
motion trajectory
deep learning
object detection
lightweight network
Transformer model
feature reuse
Online Access:https://www.mdpi.com/1424-8220/23/3/1726

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