The Application of Deep Convolution Neural Network in Volleyball Video Behavior Recognition

The Application of Deep Convolution Neural Network in Volleyball Video Behavior Recognition

The purpose is to minimize subjective errors in the manual analysis of volleyball game videos and improve the traditional Human Behavior Recognition (HBR) algorithms’ excessive calculation, high hardware requirements, and poor long-stream video modeling ability. Firstly, this paper expoun...

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Bibliographic Details
Main Authors: Chen Liang, Zhijun Liang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
behavior recognition
fusion network
volleyball video
recognition accuracy
Online Access:https://ieeexplore.ieee.org/document/9946848/

Internet

https://ieeexplore.ieee.org/document/9946848/

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